phil schniter - publications (by date)

preprints:

• E. T. Reehorst and P. Schniter, ``Score Combining for Contrastive OOD Detection [arxiv].''
• A. K. Fletcher, M. Saharee, S. Rangan, and P. Schniter, ``Expectation Consistent Approximate Inference: Generalizations and Convergence [arxiv].''

highly selective conference publications:

• M. Bendel, R. Ahmad, and P. Schniter, ``pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization [neurips] [arxiv] [github],'' Proc. Neural Information Processing Systems Conference (NeurIPS) (Vancouver, BC), 2024. [4037/15671=25.8% acceptance rate]
• J. Wen, R. Ahmad, and P. Schniter, ``Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction [eccv] [arxiv] [github],'' Proc. European Conference on Computer Vision (ECCV) (Milan, Italy), pp. 182-199, 2024. [2395/8585=27.9% acceptance rate]
• M. Bendel, R. Ahmad, and P. Schniter, ``A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems [neurips] [arxiv] [github],'' Proc. Neural Information Processing Systems Conference (NeurIPS) (New Orleans, LA), pp. 68673-68684, 2023. [3218/12343=26.1% acceptance rate]
• J. Wen, R. Ahmad, and P. Schniter, ``A Conditional Normalizing Flow for Accelerated Multicoil MR Imaging [mlr] [pdf] [arxiv] [github],'' Proc. Intl. Conf. Machine Learning (ICML), (Honolulu, HI), vol. 202, pp. 36926-36939, 2023. [1827/6538=27.9% acceptance rate]
• P. Pandit, M Sahraee-Ardakan, S. Rangan, P. Schniter, and A. K. Fletcher, ``Matrix Inference and Estimation in Multi-Layer Models [neurips] [pdf] [arxiv],'' Proc. Neural Information Processing Systems Conference (NeurIPS) (Vancouver, Canada), pp. 22456-22467, 2020. [1903/9467=20% acceptance rate]
• A. K. Fletcher, P. Pandit, S. Rangan, S. Sarkar, and P. Schniter, ``Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis [neurips] [pdf] [arxiv],'' Proc. Neural Information Processing Systems Conference (NeurIPS) (Montreal, Canada), pp. 7440-7449, Dec. 2018. [1011/4865=21% acceptance rate]
• C. A. Metzler, P. Schniter, A. Veeraraghavan, and R. G. Baraniuk, ``prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks [mlr] [pdf] [arxiv] [github],'' Proc. Intl. Conf. Machine Learning (ICML), (Stockholm, Sweden), pp. 3501-3510, July 2018. [621/2473=25% acceptance rate]
• A. K. Fletcher, M. Sahraee-Ardakan, S. Rangan, and P. Schniter, ``Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems [neurips] [pdf] [arxiv],'' Proc. Neural Information Processing Systems Conference (NeurIPS) (Long Beach, CA), pp. 2545-2554, Dec. 2017. [679/3240=21% acceptance rate]
• R. Aggarwal, C. E. Koksal, and P. Schniter, ``Performance bounds and associated design principles for multi-cellular wireless OFDMA systems [ieee] [arxiv],'' Proc. IEEE International Conference on Computer Communications (INFOCOM), (Orlando, FL), Mar. 2012. [278/1547=18% acceptance rate]

journal publications:

• X. Lei, P. Schniter, J. Varghese, and R. Ahmad, ``Patch-based Diffusion Model for Accelerated Cardiac Cine Reconstruction [jcmr] [github],'' Journal of Cardiovascular Magnetic Resonance, Vol. 28, Supp. 1, 102295, Spring 2026.
• J. Wen, R. Ahmad, and P. Schniter, ``Minimax Multi-Target Conformal Prediction with Applications to Imaging Inverse Problems [openreview] [arxiv] [github],'' Transactions on Machine Learning Research, Nov. 2025.
• M. C. Bendel, S. K. Shastri, R. Ahmad, and P. Schniter, ``Solving Inverse Problems using Diffusion with Iterative Colored Renoising [openreview] [arxiv] [github],'' Transactions on Machine Learning Research, Sep. 2025.
• J. Wen, R. Ahmad, and P. Schniter, ``Conformal Bounds on Full-reference Image Quality for Imaging Inverse Problems [openreview] [arxiv] [github],'' Transactions on Machine Learning Research, May 2025.
• X. Lei, P. Schniter, C. Chen, and R. Ahmad, ``Groupwise Image Registration with Edge-Based Loss for Low-SNR Cardiac MRI [wiley] [arxiv] [github],'' Magnetic Resonance in Medicine, May 2025.
• S. K. Shastri and P. Schniter ``Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation [ieee] [arxiv] [github],'' IEEE Transactions on Computational Imaging, vol. 11, pp. 116-128, 2025.
• M. Shafique, S. Liu, P. Schniter, and R. Ahmad, ``MRI Recovery with self-calibrated denoisers without fully-sampled data [springer] [arxiv] [github],'' Magnetic Resonance Materials in Physics, Biology and Medicine, Oct. 2024.
• S. K. Shastri, R. Ahmad, C. A. Metzler, and P. Schniter, ``Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery [ieee] [pdf] [arxiv] [github],'' IEEE Journal on Selected Areas in Information Theory, vol. 3, no. 3, pp. 528-542, Sep. 2022.
• P. Pandit, M. Sahraee-Ardakan, S. Rangan, P. Schniter, and A. K. Fletcher, ``Matrix Inference and Estimation in Multi-layer Models [iop] [pdf] [arxiv],'' Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 12, pp. 124004, Dec. 2021.
• R. Gribonval, A. Chatalic, N. Keriven, V. Schellekens, L. Jacques, and P. Schniter, ``Sketching Datasets for Large-Scale Learning [ieee] [pdf] [arxiv] [gitlab],'' IEEE Signal Processing Magazine, vol. 38, no. 5, pp. 12-36, 2021.
• K.-H. Ngo, M. Guillaud, A. Decurninge, S. Yang, and P. Schniter, ``Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel [ieee] [pdf] [arxiv],'' IEEE Transactions on Wireless Communications, vol. 19, no. 9, pp. 6145-6161, 2020.
• P. Schniter, ``A Simple Derivation of AMP and its State Evolution via First-Order Cancellation [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 68, pp. 4283-4292, 2020.
• P. Pandit, M. Sahraee-Ardakan, S. Rangan, P. Schniter, and A. K. Fletcher, ``Inference with Deep Generative Priors in High Dimensions [ieee] [pdf] [arxiv],'' IEEE Journal on Selected Areas in Information Theory, vol. 1, no. 1, pp. 336-347, May 2020.
• R. Ahmad, C. A. Bouman, G. T. Buzzard, S. Chan, S. Liu, E. T. Reehorst, and P. Schniter, ``Plug and play methods for magnetic resonance imaging [ieee] [pdf] [(long version) arxiv],'' IEEE Signal Processing Magazine, vol. 37, no. 1, pp. 105-116, Jan. 2020.
• A. K. Fletcher, P. Pandit, S. Rangan, S. Sarkar, and P. Schniter, ``Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis [iop] [pdf] [arxiv],'' Journal of Statistical Mechanics: Theory and Experiment, vol. 2019, no. 12, pp. 124021, Dec. 2019.
• S. Rangan, P. Schniter, and A. K. Fletcher, ``Vector Approximate Message Passing [ieee] [pdf] [arxiv],'' IEEE Transactions on Information Theory, vol. 65, no. 10, pp. 6664-6684, Oct 2019.
• E. Byrne, A. Chatalic, R. Gribonval, and P. Schniter, ``Sketched Clustering via Hybrid Approximate Message Passing [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 67, no. 17, pp. 4556-4569, Sep 2019.
• S. Rangan, P. Schniter, A. K. Fletcher, and S. Sarkar, ``On the Convergence of Approximate Message Passing with Arbitrary Matrices [ieee] [pdf] [arxiv],'' IEEE Transactions on Information Theory, vol. 65, no. 9, pp. 5339-5351, Sep 2019.
• P. Schniter and E. Byrne, ``Adaptive Detection of Structured Signals in Low-Rank Interference [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 67, no. 13, pp. 3439-3454, July 2019.
• S. Sarkar, A. K. Fletcher, S. Rangan, and P. Schniter, ``Bilinear Recovery using Adaptive Vector-AMP [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 67, no. 13, pp. 3383-3396, July 2019.
• E. T. Reehorst and P. Schniter, ``Regularization by Denoising: Clarifications and New Interpretations [ieee] [pdf] [arxiv],'' IEEE Transactions on Computational Imaging, vol. 5, no. 1, pp. 52-67, Mar 2019.
• P. Sun, Z. Wang, R. W. Heath Jr., and P. Schniter, ``Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCs [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 67, no. 4, pp. 899-914, Feb 2019.
• C. Chen, Y. Liu, P. Schniter, N. Jin, J. Craft, O. Simonetti, R. Ahmad ``Sparsity adaptive reconstruction for highly accelerated cardiac MRI [wiley] [pdf] [html] [github],'' Magnetic Resonance in Medicine, vol. 81, no. 6, pp. 3875-3887, June 2019.
• P. Sun, Z. Wang, and P. Schniter, ``Joint Channel-Estimation and Equalization of Single-Carrier Systems via Bilinear AMP [ieee] [pdf],'' IEEE Transactions on Signal Processing, vol. 66, no. 10, pp. 2772-2785, May 2018.
• J. Mo, P. Schniter, and R. W. Heath Jr., ``Channel Estimation in Broadband Millimeter Wave MIMO Systems with Few-Bit ADCs [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 66, no. 5, pp. 1141-1154, Mar. 2018.
• M. Al-Shoukairi, P. Schniter, and B. D. Rao, ``A GAMP Based Low Complexity Sparse Bayesian Learning Algorithm [ieee] [pdf] [arxiv]," IEEE Transactions on Signal Processing, vol. 66, no. 2, pp. 294-308, Jan. 2018.
• S. Rangan, A. K. Fletcher, V. K. Goyal, E. Byrne, and P. Schniter, ``Hybrid Approximate Message Passing [ieee] [pdf] [arxiv]," IEEE Transactions on Signal Processing, vol. 65, no. 17, pp. 4577-4592, Sep. 2017.
• M. Borgerding, P. Schniter, and S. Rangan, ``AMP-Inspired Deep Networks for Sparse Linear Inverse Problems [ieee] [pdf] [arxiv]," IEEE Transactions on Signal Processing, vol. 65, no. 16, pp. 4293-4308, Aug. 2017.
• S. Rangan, A. K. Fletcher, P. Schniter, and U. Kamilov, ``Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization [ieee] [pdf] [arxiv]," IEEE Transactions on Information Theory, vol. 63, no. 1, pp. 676-697, Jan. 2017.
• C. Schulke, P. Schniter, and L. Zdeborova, ``Phase diagram of matrix compressed sensing [aps] [pdf] [arxiv]," Physical Review E, vol. 94, no. 6, pp. 062136(1-16), Dec. 2016.
• S. Rangan, P. Schniter, E. Riegler, A. K. Fletcher, and V. Cevher ``Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices [ieee] [pdf] [arxiv]," IEEE Transactions on Information Theory, vol. 62, no. 12, pp. 7464-7474, Dec. 2016.
• E. Byrne and P. Schniter, ``Sparse Multinomial Logistic Regression via Approximate Message Passing [ieee] [pdf] [arxiv]," IEEE Transactions on Signal Processing, vol. 64, no. 21, pp. 5485-5498, Nov. 2016.
• J. T. Parker and P. Schniter, ``Parametric Bilinear Generalized Approximate Message Passing [ieee] [pdf],'' IEEE Journal of Selected Topics in Signal Processing: Special Issue on Structured Matrices in Signal and Data Processing, vol. 10, no. 4, pp. 795-808, June 2016. (Longer version on [arxiv])
• M. Pereyra, P. Schniter, E. Chouzenoux, J.-C. Pesquet, J.-Y. Tourneret, A. Hero, and S. McLaughlin, ``A Survey of Stochastic Simulation and Optimization Methods in Signal Processing [ieee] [pdf] [arxiv],'' IEEE Journal of Selected Topics in Signal Processing: Special Issue on Stochastic Simulation and Optimisation in Signal Processing, vol. 10, no. 2, pp. 224-241, Mar. 2016.
• R. Ahmad and P. Schniter, ``Iteratively Reweighted L1 Approaches to Sparse Composite Regularization [ieee] [pdf] [arxiv],'' IEEE Transactions on Computational Imaging, vol. 1, no. 4, pp. 220-235, Dec. 2015. [L2-constrained formulation here] [code]
• J. Vila, P. Schniter, and J. Meola, ``Hyperspectral Unmixing via Turbo Bilinear Approximate Message Passing [ieee] [pdf] [arxiv],'' [code] IEEE Transactions on Computational Imaging, vol. 1, no. 3, pp. 143-158, Sep. 2015.
• J. Ziniel, P. Schniter, and P. Sederberg, ``Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing [ieee] [pdf] [arxiv].'' IEEE Transactions on Signal Processing. vol. 63, no. 8, pp. 2020-2032, Apr. 2015.
• P. Schniter and S. Rangan, ``Compressive Phase Retrieval via Generalized Approximate Message Passing [ieee] [pdf] [arxiv].'' IEEE Transactions on Signal Processing, vol. 63, no. 4, pp. 1043-1055, Feb. 2015.
• J. T. Parker, P. Schniter, and V. Cevher, ``Bilinear Generalized Approximate Message Passing---Part I: Derivation [ieee] [pdf] [arxiv].'' [code] IEEE Transactions on Signal Processing, vol. 62, no. 22, pp. 5839-5853, Nov. 2014. [2016 IEEE Signal Processing Society Best Paper Award]
• J. T. Parker, P. Schniter, and V. Cevher, ``Bilinear Generalized Approximate Message Passing---Part II: Applications [ieee] [pdf] [arxiv].'' [code] IEEE Transactions on Signal Processing, vol. 62, no. 22, pp. 5854-5867, Nov. 2014. [2016 IEEE Signal Processing Society Best Paper Award]
• A. Sabharwal, P. Schniter, D. Guo, D. W. Bliss, S. Rangarajan, and R. Wichman, ``In-band Full-duplex Wireless: Challenges and Opportunities [ieee] [pdf] [arxiv],'' IEEE Journal on Selected Areas in Communications, Special Issue on In-Band Full-Duplex Wireless Communications and Networks, vol. 31, no. 9, pp. 1637-1652, Sep. 2014.
• J. Vila and P. Schniter, ``An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 62, no. 18, pp. 4689-4703, Sept. 2014. [code]
• M. Nassar, P. Schniter, and B. Evans, ``A Factor-Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 62, no. 6, pp. 1576-1589, Mar. 2014.
• J. Ziniel and P. Schniter, ``Dynamic Compressive Sensing of Time-Varying Signals via Approximate Message Passing [ieee] [pdf] [arxiv].'' IEEE Transactions on Signal Processing, vol. 61, no. 21, pp. 5270-5284, Nov. 2013. [code]
• J. P. Vila and P. Schniter, ``Expectation-Maximization Gaussian-Mixture Approximate Message Passing [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 61, no. 19, pp. 4658-4672, Oct. 2013. [code]
• R. Aggarwal, C. E. Koksal, and P. Schniter, ``On the Design of Large Scale Wireless Systems [ieee] [pdf] [arxiv].'' IEEE Journal on Selected Areas in Communications, Special Issue on Large-Scale Multiple Antenna Wireless Systems, vol. 31, no. 2, pp. 215-225, Feb. 2013.
• J. Ziniel and P. Schniter, ``Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 61, no. 2, pp. 340-354, Jan. 2013. [code]
• B. P. Day, A. R. Margetts, D. W. Bliss, and P. Schniter, ``Full-Duplex MIMO Relaying: Achievable Rates under Limited Dynamic Range [ieee] [pdf] [arxiv],'' IEEE Journal on Selected Areas in Communications, Special Issue on Theories and Methods for Advanced Wireless Relays, vol. 30, no. 8, pp. 1541-1553, Sept. 2012.
• B. P. Day, A. R. Margetts, D. W. Bliss, and P. Schniter, ``Full-Duplex Bidirectional MIMO: Achievable Rates under Limited Dynamic Range [pdf] [pdf],'' IEEE Transactions on Signal Processing, vol. 60, no. 7, pp. 3702-3713, July 2012.
• S. Som and P. Schniter, ``Compressive Imaging using Approximate Message Passing and a Markov-Tree Prior [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 60, no. 7, pp. 3439-3448, July 2012. [code]
• R. Aggarwal, C. E. Koksal, and P. Schniter, ``Joint Scheduling and Resource Allocation in OFDMA Downlink Systems via ACK/NAK Feedback [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 60, no. 6, pp. 3217-3227, June 2012.
• C. E. Koksal and P. Schniter, ``Robust Rate-Adaptive Wireless Communication Using ACK/NAK-Feedback [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 60, no. 4, pp. 1752-1765, Apr. 2012.
• P. Schniter, ``Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels [elsevier] [pdf] [arxiv].'' Physical Communication: Special Issue in Compressive Sensing in Communications (Elsevier), vol. 5, no. 3, pp. 91-101, Mar. 2012.
• S. Murugesan, P. Schniter, and N. Shroff, ``Multiuser Scheduling in a Markov-modeled Downlink using Randomly Delayed ARQ Feedback [ieee] [pdf] [arxiv],'' IEEE Transactions on Information Theory, vol. 58, no. 2, pp. 1025-1042, Feb. 2012.
• P. Schniter, ``A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels [ieee] [pdf] [arxiv],'' IEEE Journal of Selected Topics in Signal Processing: Special Issue on Soft Detection for Wireless Transmission, vol. 5, no. 8, pp. 1462-1474, Dec. 2011. [code]
• R. Aggarwal, M. Assaad, C. E. Koksal, and P. Schniter, ``Joint Scheduling and Resource Allocation in the OFDMA Downlink: Utility Maximization Under Imperfect Channel-State Information [ieee] [pdf] [arxiv],'' IEEE Transactions on Signal Processing, vol. 59, no. 11, pp. 5589-5604, Nov. 2011.
• A. P. Kannu and P. Schniter, ``On Communication over Unknown Sparse Frequency-Selective Block-Fading Channels [ieee] [pdf] [arxiv],'' IEEE Transactions on Information Theory, vol. 57, no. 10, pp. 6619-6632, Oct. 2011.
• A. P. Kannu and P. Schniter, ``On the Spectral Efficiency of Noncoherent Doubly Selective Block-Fading Channels [ieee] [pdf],'' IEEE Transactions on Information Theory, vol. 56, no. 6, pp. 2829-2844, June 2010.
• R. Aggarwal, P. Schniter, and C. E. Koksal, ``Rate Adaptation via Link-Layer Feedback for Goodput Maximization over a Time-Varying Channel [ieee] [pdf],'' IEEE Transactions on Wireless Communications, vol. 8, no. 8, pp. 4276-4285, Aug. 2009.
• S.-J. Hwang and P. Schniter, ``Efficient Multicarrier Communication for Highly Spread Underwater Acoustic Channels [ieee] [pdf],'' IEEE Journal on Selected Areas in Communications, vol. 26, no. 9, pp. 1674-1683, Dec. 2008.
• H. Liu and P. Schniter, ``Iterative Frequency-Domain Channel Estimation and Equalization for Single-Carrier Transmissions without Cyclic-Prefix [ieee] [pdf],'' IEEE Transactions on Wireless Communications, vol. 7, no. 10, pp. 3686-3691, Oct. 2008.
• K. Azarian, H. El Gamal, and P. Schniter, ``On the Optimality of the ARQ-DDF Protocol [ieee] [pdf],'' IEEE Transactions on Information Theory, vol. 54, no. 6, pp. 1718-1724, Apr. 2008.
• A. P. Kannu and P. Schniter, ``Design and Analysis of MMSE Pilot-Aided Cyclic-Prefixed Block Transmission for Doubly Selective Channels [ieee] [pdf],'' IEEE Transactions on Signal Processing, vol. 56, no. 3, pp. 1148-1160, Mar. 2008.
• A. Margetts and P. Schniter and A. Swami, ``Joint Scale-Lag Diversity in Wideband Mobile Direct Sequence Spread Spectrum Systems [ieee] [pdf],'' IEEE Transactions on Wireless Communications, vol. 6, no. 12, pp. 4308-4319, Dec. 2007.
• S. Das and P. Schniter, ``Max-SINR ISI/ICI-Shaped Multi-Carrier Communication over the Doubly Dispersive Channel [ieee] [pdf],'' IEEE Transactions on Signal Processing, vol. 55, no. 12, pp. 5782-5795, Dec. 2007.
• S. Murugesan, E. Uysal-Biyikoglu and P. Schniter, ``Optimization of Training and Scheduling in the Non-Coherent MIMO Multiple-Access Channel [ieee] [pdf],'' IEEE Journal on Selected Areas in Communications, vol. 25, no. 7, pp. 1446-1456, Sept. 2007.
• S.-J. Hwang and P. Schniter, ``Efficient Sequence Detection of Multi-Carrier Transmissions over Doubly Dispersive Channels [springer] [pdf],'' EURASIP Journal on Applied Signal Processing special issue on Reliable Communications over Rapidly Time-Varying Channels, article ID 93638, 17 pages, 2006.
• K. Azarian, H. El Gamal, and P. Schniter, ``On the Achievable Diversity-Multiplexing Tradeoff in Half-Duplex Cooperative Channels [ieee] [pdf],'' IEEE Transactions on Information Theory, vol. 51, no. 12, pp. 4152-4172, Dec. 2005.
• A. R. Margetts and P. Schniter, ``Adaptive Chip-Rate Equalization of Downlink Multirate Wideband CDMA [ieee] [pdf],'' IEEE Transactions on Signal Processing, vol. 53, no. 6, pp. 2205-2215, June 2005.
• B. Bhukania and P. Schniter, ``On the Robustness of Decision-feedback Detection of DPSK and Differential Unitary Space-Time Modulation in Rayleigh-Fading Channels [ieee] [pdf],'' IEEE Trans. on Wireless Communications, vol. 3, no. 5, pp. 1481-1489, Sept. 2004.
• P. Schniter, ``Low-Complexity Equalization of OFDM in Doubly Selective Channels [ieee] [pdf],'' IEEE Transactions on Signal Processing, vol. 52, no. 4, pp. 1002-1011, Apr. 2004.
• B. D. Rigling and P. Schniter, ``Subspace Leaky LMS [ieee] [pdf],'' IEEE Signal Processing Letters, vol. 11, no. 2, pp. 136-139, Jan. 2004.
• W. Chen, U. Mitra, and P. Schniter, ``On the Equivalence of Three Reduced Rank Linear Estimators with Applications to DS-CDMA [ieee] [pdf],'' IEEE Trans. on Information Theory, vol. 48, no. 9, pp. 2609-2614, Sept. 2002.
• P. Schniter and L. Tong, ``Existence and Performance of Shalvi-Weinstein Estimators [ieee] [pdf],'' IEEE Trans. on Signal Processing, vol. 49, no. 9, pp. 2031-2041, Sept. 2001. [proof details]
• P. Schniter, R.A. Casas, A. Touzni, and C.R. Johnson, Jr., ``Performance Analysis of Godard-Based Channel Identification [ieee] [pdf],'' IEEE Trans. on Signal Processing, vol. 49, no. 8, pp. 1757-1767, Aug. 2001. [proof details]
• P. Schniter and C.R. Johnson, Jr., ``Bounds for the MSE Performance of Constant Modulus Estimators [ieee] [pdf],'' IEEE Trans. on Information Theory, vol. 46, no. 7, pp. 2544-2560, Nov. 2000.
• P. Schniter and C.R. Johnson, Jr., ``Sufficient Conditions for the Local Convergence of Constant Modulus Algorithms [ieee] [pdf],'' IEEE Trans. on Signal Processing, vol. 48, no. 10, pp. 2785-2796, Oct. 2000.
• P. Schniter and C.R. Johnson, Jr., ``Dithered Signed-Error CMA: Robust, Computationally Efficient Blind Adaptive Equalization [ieee] [pdf],'' IEEE Trans. on Signal Processing, vol. 47, no. 6, pp. 1592-1603, June 1999.
• C.R. Johnson, Jr., P. Schniter, T.J. Endres, J. Behm, D.R. Brown, and R.A. Casas, ``Blind Equalization Using the Constant Modulus Criterion: A Review [ieee] [pdf],'' Proceedings of the IEEE: Special Issue on Blind System Identification and Estimation, vol. 86, no. 10, pp. 1927-50, October 1998.
• P. Schniter and L. Wozniak, ``Efficiency Based Optimal Control of Kaplan Hydrogenerators [ieee] [pdf],'' IEEE Trans. Energy Conversion, vol. 10, no. 2, pp. 348-353, June 1995.

other conference publications / talks:

• X. Lei, P. Schniter, and R. Ahmad, ``Patched based diffusion model for accelerated cardiac cine reconstruction [email],'' Society for Cardiovascular Magnetic Resonance (SCMR) Annual Scientific Sessions (Rio de Janiero, Brazil), Feb. 2026.
• J. Wen, R. Ahmad, and P. Schniter, ``Bounding Estimation Performance in Inverse Problems via Conformal Prediction [arxiv],'' presented at the Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2025. [slides]
• M. Bendel, S. K. Shastri, R. Ahmad, and P. Schniter, ``Solving Inverse Problems using Diffusion with Iterative Colored Renoising [arxiv],'' presented at the Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2025. [slides]
• X. Lei, P. Schniter, C. Chen, Y. Liu, and R. Ahmad, ``Image Registration using Averaging VoxelMorph with CNN Edge Detector [ismrm],'' Proc. Intl. Soc. Magnetic Resonance in Medicine (ISMRM) (Singapore), May 2025.
• X. Lei, P. Schniter, and R. Ahmad, ``A patch-based latent video diffusion model for cardiac cine (Cine-LDiff) [html],'' Society for Cardiovascular Magnetic Resonance (SCMR) Annual Scientific Sessions Washington, DC, Jan. 2025.
• M. Bendel, S. K. Shastri, R. Ahmad, and P. Schniter, ``Iterative Renoising as an Efficient Way to Solve Imaging Inverse Problems with Diffusion [basp],'' Proc. Intl. Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop (Villars-sur-Ollon, Switzerland), Jan. 2025. [poster]
• J. Wen, R. Ahmad, and P. Schniter, ``Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction [basp],'' Proc. Intl. Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop (Villars-sur-Ollon, Switzerland), Jan. 2025. [poster]
• S.K. Shastri and P. Schniter, ``Deep Expectation-Consistent Approximation for Fourier Phase Retrieval [email],'' presented at the Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2024. [slides]
• J. Wen, R. Ahmad, and P. Schniter, ``Inverse-Problem Uncertainty Quantification via Conformal Bounds on Downstream Tasks [email],'' presented at the Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2024. [slides]
• M. Bendel, R. Ahmad, and P. Schniter, ``Improving Posterior-Sampling cGANs via Principal Component Regularization [email],'' presented at the Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2024. [slides]
• X. Lei, C. Chen, P. Schniter, and R. Ahmad, ``Surface coil intensity correction for MRI [arxiv] [github],'' Proc. Intl. Symp. Biomedical Imaging (ISBI) (Athens), May 2024.
• X. Lei, C. Chen, P. Schniter, and R. Ahmad, ``An open-source implementation of surface coil intensity correction [arxiv] [github],'' Proc. Global Cardiovascular Magnetic Resonance Conference (CMR) (London), Jan. 2024.
• S.K. Shastri and P. Schniter, ``Phase Retrieval via Deep Expectation-Consistent Approximation [openreview],'' NeurIPS Workshop on Deep Inverse Problems (New Orleans, LA), Dec. 2023.
• M.C. Bendel, R. Ahmad, and P. Schniter, ``Mask-Agnostic Posterior Sampling MRI via Conditional GANs with Guided Reconstruction [openreview],'' NeurIPS Workshop on Deep Inverse Problems (New Orleans, LA), Dec. 2023.
• S.K. Shastri, R. Ahmad, and P. Schniter, ``Deep Expectation-Consistent Approximation for Phase Retrieval [ieee],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2023.
• S. Nair and P. Schniter, ``An Improved Spline-Based Learned Convex Regularizer for Image Recovery [email],'' presented at the Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2023.
• J. Wen, R. Ahmad, and P. Schniter, ``Posterior Sampling for Accelerated Multicoil MRI Reconstruction using a Conditional Normalizing Flow [ismrm],'' Proc. Intl. Soc. Magnetic Resonance in Medicine (ISMRM) (Toronto), June 2023.
• M. Bendel, R. Ahmad, and P. Schniter, ``A Regularized Conditional GAN for Posterior Sampling in MR Image Reconstruction [ismrm],'' Proc. Intl. Soc. Magnetic Resonance in Medicine (ISMRM) (Toronto), June 2023.
• S. Liu, P. Schniter, and R. Ahmad, ``Recovery with self-calibrated denoisers from multiple undersampled images (ReSiDe-M) [ismrm],'' Proc. Intl. Soc. Magnetic Resonance in Medicine (ISMRM) (Toronto), June 2023.
• M. Bendel, R. Ahmad, and P. Schniter, ``A Regularized Conditional GAN for Posterior Sampling in Inverse Problems [basp],'' Proc. Intl. Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop (Villars-sur-Ollon, Switzerland), Feb. 2023.
• S. Nair and P. Schniter, ``Convergent Deep Convex and Non-Convex Regularization [basp],'' Proc. Intl. Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop (Villars-sur-Ollon, Switzerland), Feb. 2023.
• M. Bendel, R. Ahmad, and P. Schniter, ``A Regularized Conditional GAN for Posterior Sampling in MRI Image Recovery [arxiv],'' presented at the Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2022.
• S.K. Shastri, R. Ahmad, C. Metzler, and P. Schniter, ``AMP Methods for Fourier-Structured Operators and Signals [arxiv],'' presented at the Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2022. [poster] [slides]
• M. Bendel, R. Ahmad, and P. Schniter, ``A Regularized Conditional GAN for Posterior Sampling in Inverse Problems [arxiv],'' presented at the Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Sep. 2022.
• S. Liu, P. Schniter, and R. Ahmad, ``MRI Recovery with a Self-calibrated Denoiser [ieee] [arxiv],'' Proc. IEEE Internat. Conf. on Acoust., Speech, and Signal Processing (ICASSP) (Singapore), May 2022.
• S.K. Shastri, R. Ahmad, C. Metzler, and P. Schniter, ``Expectation Consistent Plug-and-Play for MRI [ieee] [arxiv],'' Proc. IEEE Internat. Conf. on Acoust., Speech, and Signal Processing (ICASSP) (Singapore), May 2022. [poster] [slides]
• S. Liu, P. Schniter, and R. Ahmad, ``Image Reconstruction with a Self-calibrated Denoiser [ismrm] [arxiv],'' Intl. Soc. Magnetic Resonance in Medicine (ISMRM) (London), May 2022.
• S.K. Shastri, R. Ahmad, C. Metzler, and P. Schniter, ``Matching Plug-and-Play Algorithms to the Denoiser [openreview],'' NeurIPS Workshop on Deep Inverse Problems (virtual), Dec. 2021. [poster]
• M. K. Wharton, A. M. Pavy, and P. Schniter, ``Deep Neural Networks for Radar Waveform Classification [ieee] [arxiv],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (virtual), Nov. 2021. [poster]
• S. Sarkar, R. Ahmad, and P. Schniter, ``MRI Image Recovery using Damped Denoising Vector AMP [ieee] [arxiv],'' Proc. IEEE Internat. Conf. on Acoust., Speech, and Signal Processing (ICASSP) (virtual), May 2021. [slides] [poster]
• S.K. Shastri, R. Ahmad, and P. Schniter, ``Autotuning Plug-and-Play Algorithms for MRI [ieee] [arxiv],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (virtual), Nov. 2020. [slides]
• S. Liu, N. Jin, P. Schniter, and R. Ahmad, ``A Parameter-free Plug-and-Play Method for Accelerated MRI Reconstruction [ismrm],'' Intl. Soc. Magnetic Resonance in Medicine (ISMRM) (virtual), Aug. 2020.
• P. Schniter, ``A Simple Derivation of AMP and its State Evolution via First-Order Cancellation [ieee] [arxiv],'' Proc. IEEE Internat. Conf. on Acoust., Speech, and Signal Processing (ICASSP) (virtual), May 2020.
• S. Liu, E. Reehorst, P. Schniter, and R. Ahmad, ``Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser [ieee] [arxiv],'' IEEE International Symposium on Biomedical Imaging (ISBI) (virtual), Apr. 2020.
• P. Schniter, S. Sarkar, and R. Ahmad, ``Plug-and-play AMP for Image Recovery with Fourier-Structured Operators [imaging],'' presented at the IS&T Intl. Symposium Electronic Imaging (Burlingame, CA), Jan. 2020.
• M. Wharton, E. T. Reehorst, and P. Schniter, ``Compressive SAR Image Recovery and Classification via CNNs [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2019. [poster]
• K.-H. Ngo, M. Guillaud, A. Decurninge, S. Yang, S. Sarkar, and P. Schniter, ``Non-Coherent Multi-User Detection Based on Expectation Propagation [ieee] [pdf].'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2019. [poster]
• S. Sarkar, A. K. Fletcher, S. Rangan, and P. Schniter, ``Bilinear Recovery using Adaptive Vector-AMP [arxiv],'' presented at the Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2019. [poster]
• P. Pandit, M. Shraee-Ardakan, A. K. Fletcher, P. Schniter, and S. Rangan, ``High-Dimensional Analysis of Learning in Two-Layer Models [abstract],'' presented at the Conf. on the Mathematical Theory of Deep Neural Networks (New York, NY), Oct 2019. [poster]
• E. Byrne, P. Schniter, A. Chatalic, and R. Gribonval, ``Sketched Clustering via Hybrid Approximate Message Passing [abstract] [pdf],'' Proc. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS) (Toulouse, France), July 2019. [slides]
• P. Schniter, ``Recent Advances in Approximate Message Passing [keynote] [pdf],'' presented at the London Symposium on Information Theory (London, England), June 2019. (Invited.) [slides]
• E. T. Reehorst and P. Schniter, ``Score Matching by Denoising [basp] [pdf],'' Proc. Intl. Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop (Villars-sur-Ollon, Switzerland), Feb. 2019. [poster]
• E. Byrne and P. Schniter, ``Adaptive Detection of Structured Signals in Low-Rank Interference [ieee] [arxiv],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2018. [slides]
• E. T. Reehorst and P. Schniter, ``Regularization by Denoising: Clarifications and New Interpretations [arxiv],'' presented at the Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2018. (Invited.) [slides]
• P. Schniter, M. Borgerding, and S. Rangan, ``AMP-inspired Deep Networks, with Comms Applications [abstract],'' presented at Intl. Conf. on Signal Processing and Communications (SPCOM), (Bangalore, India), July 2018. (Invited.) [slides]
• C. A. Metzler, P. Schniter, and R. G. Baraniuk, ``An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing [springer] [arxiv],'' Proc. Intl. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA), (Guildford, UK), July 2018. (Invited.)
• A. K. Fletcher, S. Rangan, and P. Schniter, ``Inference in Deep Networks in High Dimensions [ieee] [pdf],'' Proc. IEEE Symposium on Information Theory (ISIT), (Vail, CO), June 2018.
• E. T. Reehorst and P. Schniter, ``Regularization by Denoising: Clarifications and New Interpretations [abstract] [arxiv],'' presented at the SIAM Conference on Imaging Science, (Bologna, Italy), June 2018. (Invited.) [slides]
• P. Schniter, S. Sarkar, S. Rangan, and A. K. Fletcher, ``Bilinear Recovery using EM Vector-AMP [arxiv],'' presented at the Workshop on Information Theory and Applications (ITA), (San Diego, CA), Feb. 2018. (Invited.) [slides]
• P. Sun, Z. Wang, R. W. Heath Jr., and P. Schniter, ``Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCs [ieee] [arxiv],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Oct. 2017.
• E. Byrne, R. Gribonval, and P. Schniter, ``Sketched Clustering via Hybrid Approximate Message Passing [ieee] [arxiv],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2017. [poster]
• S. Rangan, P. Schniter, and A. K. Fletcher, ``Vector Approximate Message Passing [ieee] [arxiv].'' Proc. IEEE Symposium on Information Theory (ISIT), (Aachen, Germany), June 2017.
• P. Schniter, ``Recent Advances in Approximate Message Passing [abstract],'' presented at the Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS) (Lisbon, Portugal), June 2017. (Invited.) [slides]
• A. K. Fletcher and P. Schniter, ``Learning and Free Energies for Vector Approximate Message Passing [ieee] [pdf] [arxiv],'' Proc. IEEE Conf. on Acoustics Speech and Signal Processing, (New Orleans, LA), Mar. 2017. [poster]
• P. Schniter, M. Borgerding, S. Rangan, and A. K. Fletcher, ``AMP-inspired Deep Networks [arxiv],'' presented at the Workshop on Information Theory and Applications (ITA), (San Diego, CA), Feb. 2017. (Invited.) [slides]
• P. Schniter, S. Rangan, and A. K. Fletcher, ``Denoising-based Vector Approximate Message Passing [basp] [pdf] [arxiv],'' Proc. Intl. Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop (Villars-sur-Ollon, Switzerland), Jan. 2017. [poster]
• M. Borgerding and P. Schniter, ``Onsager-corrected deep learning for sparse linear inverse problems [ieee] [arxiv],'' Proc. IEEE Global Conference on Signal and Information Processing (GLOBALSIP), (Washington, DC), Dec. 2016.
• P. Schniter, S. Rangan, and A. K. Fletcher, ``Vector AMP for the Generalized Linear Model [ieee] [arxiv],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2016. [slides]
• P. Schniter, S. Rangan, A. K. Fletcher, and M. Borgerding, ``Vector AMP and its Connections to Deep Learning [arxiv],'' presented at the IEEE Info. Thy. Workshop (Cambridge, UK), Sept. 2016. (Invited.) [slides]
• P. Schniter, S. Rangan, and A. K. Fletcher, ``Vector AMP [arxiv],'' presented at iTWIST (Aalborg, Denmark), Aug. 2016. (Invited.) [slides]
• A. K. Fletcher, M. Saharee, S. Rangan, and P. Schniter, ``Expectation Consistent Approximate Inference: Generalizations and Convergence [ieee] [arxiv].'' Proc. IEEE Symposium on Information Theory (ISIT), (Barcelona), July 2016.
• P. Schniter and J. T. Parker, ``Structured Matrix Estimation via Approximate Message Passing [arxiv],'' presented at the Workshop on Information Theory and Applications (ITA), (San Diego, CA), Feb. 2016. (Invited.) [slides]
• P. Schniter and R. Ahmad, ``Recovering Signals with Unknown Sparsity in Multiple Dictionaries [springer],'' presented at the MATHEON Workshop on Compressed Sensing and its Applications (Berlin, Germany), December 2015. (Invited.) [slides]
• E. Byrne and P. Schniter, ``Sparse multinomial logistic regression via approximate message passing [abstract],'' presented at the Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD) (Durham, North Carolina), July 2015. (Invited.) [poster]
• P. Schniter and R. Ahmad, ``Iteratively Reweighted L1 Approaches to L2-Constrained Sparse Composite Regularization [abstract],'' presented at the Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD) (Durham, North Carolina), July 2015. (Invited.) [slides]
• S. Rangan, A. K. Fletcher, P. Schniter, and U. Kamilov, ``Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization [ieee] [arxiv],'' Proc. IEEE Symposium on Information Theory (ISIT), (Hong Kong), June 2015.
• R. Ahmad, P. Schniter, and O. P. Simonetti, ``Parameter-Free Sparsity Adaptive Compressive Recovery [ismrm],'' Proc. Int. Soc. Magnetic Resonance in Medicine, (Toronto, Canada), June 2015.
• M. A. Borgerding, P. Schniter, J. Vila, and S. Rangan, ``Generalized Approximate Message Passing for Cosparse Analysis Compressive Sensing [ieee] [pdf] [arxiv],'' Proc. IEEE Conf. on Acoustics Speech and Signal Processing, (Brisbane, Australia), April 2015. [poster] [code]
• J. Vila, P. Schniter, S. Rangan, F. Krzakala, and L. Zdeborova, ``Adaptive Damping and Mean Removal for the Generalized Approximate Message Passing Algorithm [ieee] [pdf] [arxiv],'' Proc. IEEE Conf. on Acoustics Speech and Signal Processing, (Brisbane, Australia), April 2015. [poster]
• P. Schniter and S. Rangan, ``Compressive Phase Retrieval via Bethe Free Energy Minimization [abstract],'' presented at the AMS Central Spring Sectional Meeting --- Special Session on Phase Retrieval in Theory and Practice, (East Lansing, MI), 3.14.15 (Invited.) [slides]
• P. Schniter and J. T. Parker, ``Parametric Bilinear Generalized Approximate Message Passing [arxiv],'' presented at the Workshop on Information Theory and Applications (ITA), (San Diego, CA), Feb. 2015. (Invited.) [slides]
• P. Schniter, S. Rangan, and A. K. Fletcher, ``Statistical Image Recovery: A Message-Passing Perspective [basp] [pdf],'' Proc. Intl. Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop (Villars-sur-Ollon, Switzerland), Jan. 2015. (Invited.) [slides]
• P. Schniter and A. Sayeed, ``Channel Estimation and Precoder Design for Millimeter-Wave Communications: The Sparse Way [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2014. [slides]
• J. Mo, P. Schniter, N. Gonzalez-Prelcic, and R. W. Heath Jr., ``Channel Estimation in Millimeter Wave MIMO Systems with One-Bit Quantization [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2014.
• S. Rangan, P. Schniter, and A. K. Fletcher, ``On the Convergence of Approximate Message Passing with Arbitrary Matrices [ieee] [arxiv],'' Proc. IEEE Symposium on Information Theory (ISIT) (Honolulu, Hawaii), July 2014.
• J. Ziniel, P. Schniter, and P. Sederberg, ``Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing [ieee] [arxiv],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), Mar. 2014. (Invited.) [slides]
• P. Schniter, ``Communications over Sparse Channels: Fundamental Limits and Practical Design [abstract],'' presented at the Intl. Zurich Seminar on Communications, (Zurich, Switzerland), Feb. 2014. (Invited.) [slides]
• P. Schniter, J. Parker, and J. Vila, ``Bilinear Generalized Approximate Message Passing (BiG-AMP) for Dictionary Learning [arxiv],'' presented at the Workshop on Information Theory and Applications (ITA), (San Diego, CA), Feb. 2014. (Invited.) [slides]
• J. Vila and P. Schniter, ``An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals [ieee] [pdf],'' Proc. IEEE Intl. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (Saint Martin Island), Dec. 2013. (Invited.) [code]
• M. Nassar, P. Schniter, and B. Evans, ``A Factor-Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Channels [ieee] [pdf] [arxiv],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2013. [slides]
• S. Rangan, P. Schniter, E. Riegler, A. K. Fletcher, V. Cevher ``Fixed Points of Generalized Approximate Message Passing with Arbitrary Matrices [ieee] [arxiv],'' Proc. IEEE Symposium on Information Theory (ISIT) (Istanbul, Turkey), July 2013.
• J. Vila, P. Schniter, and J. Meola, ``Hyperspectral Image Unmixing via Bilinear Generalized Approximate Message Passing [abstract] [pdf],'' Proc. SPIE Defense, Security, and Sensing, (Baltimore, MD), Apr. 2013. [slides]
• P. Schniter, ``Compressive Phase Retrieval via Generalized Approximate Message Passing [abstract],'' presented at the February Fourier Talks (FFT) Workshop on Phaseless Reconstruction, (College Park, MD), 23 Feb. 2013. (Invited.) [slides]
• P. Schniter and J. Ziniel, ``Binary Linear Classification and Feature Selection via Generalized AMP [arxiv],'' presented at the Workshop on Information Theory and Applications (ITA), (San Diego, CA), Feb. 2013. (Invited.) [slides]
• P. Schniter, ``Adaptive compressive noncoherent change detection: An AMP-based approach [basp] [pdf],'' Proc. Intl. Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop (Villars-sur-Ollon, Switzerland), Jan. 2013. (Invited.) [presented slides] [planned slides]
• J. T. Parker and P. Schniter, ``Bilinear Generalized Approximate Message Passing (BiG-AMP) for Matrix Completion [arxiv],'' presented at the Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2012. (Invited.) [code] [slides]
• D. W. Bliss, T. Hancock, and P. Schniter, ``Hardware and Environmental Phenomenological Limits on Full-Duplex MIMO Relay Performance [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2012.
• B. P. Day, A. R. Margetts, D. W. Bliss, and P. Schniter, ``Full-Duplex MIMO Relaying: Achievable Rates under Limited Dynamic Range [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2012. [slides]
• P. Schniter and S. Rangan, ``Compressive Phase Retrieval via Generalized Approximate Message Passing [ieee] [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2012. [slides]
• J. Ziniel, S. Rangan, and P. Schniter, ``A Generalized Framework for Learning and Recovery of Structured Sparse Signals [ieee] [pdf],'' Proc. Statistical Signal Processing Workshop, (Ann Arbor, MI), Aug. 2012. [code]
• S. Rangan, A. K. Fletcher, V. K. Goyal, and P. Schniter, ``Hybrid Generalized Approximate Message Passing with Applications to Structured Sparsity [ieee] [arxiv],'' Proc. IEEE Symposium on Information Theory (ISIT), (Cambridge, MA), July 2012.
• J. P. Vila and P. Schniter, ``Expectation-Maximization Gaussian-Mixture Approximate Message Passing [ieee] [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), Mar. 2012. (Invited.) [slides] [code]
• P. Schniter, J. T. Parker, and V. Cevher, ``Bilinear Generalized Approximate Message Passing (BiG-AMP) for Matrix Recovery Problems [arxiv],'' presented at the Workshop on Information Theory and Applications (ITA), (San Diego, CA), Feb. 2012. (Invited.) [slides] [code]
• P. Schniter, ``Exploiting Structured Sparsity in Bayesian Experimental Design [ieee] [pdf],'' Proc. Intl. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (San Juan, Puerto Rico), Dec. 2011. (Invited.) [slides]
• J. T. Parker, V. Cevher, and P. Schniter, ``Compressive Sensing under Matrix Uncertainties: An Approximate Message Passing Approach [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2011. [slides]
• J. Ziniel and P. Schniter, ``Efficient Message Passing-Based Inference in the Multiple Measurement Vector Problem [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2011. [slides]
• J. P. Vila and P. Schniter, ``Expectation-Maximization Bernoulli-Gaussian Approximate Message Passing [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2011. [slides] [code]
• B. P. Day, D. W. Bliss, A. R. Margetts, and P. Schniter, ``Full-Duplex Bidirectional MIMO: Achievable Rates under Limited Dynamic Range [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2011. [poster]
• P. Schniter and D. Meng, ``A Message-Passing Receiver for BICM-OFDM over Unknown Time-Varying Sparse Channels [ieee] [slides],'' presented at the Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Sept. 2011. (Invited.)
• A. P. Kannu and P. Schniter, ``On Communication over Unknown Sparse Frequency-Selective Block-Fading Channels [ieee] [pdf],'' in Proc. IEEE Symposium on Information Theory (ISIT), (Saint-Petersburg, Russia), Aug. 2011.
• J. P. Vila and P. Schniter, ``An Empirical-Bayes Approach to Compressive Sensing via Approximate Message Passing [poster],'' presented at the Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD) (Durham, North Carolina), July 2011. [poster]
• S. Som and P. Schniter, ``Approximate Message Passing for Recovery of Sparse Signals with Markov-Random-Field Support Structure [pdf],'' presented at the International Conf. on Machine Learning (ICML) Workshop on Structured Sparsity: Learning and Inference, (Bellevue, Washington), July 2011. [slides]
• P. Schniter and V. Cevher, ``Approximate Message Passing for Bilinear Models [spars] [pdf],'' Proc. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), (Edinburgh, Scotland), June 2011. [slides]
• P. Schniter, ``A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels [ieee] [pdf],'' in Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (San Francisco, CA), June 2011. [slides]
• R. Aggarwal, M. Assaad, C. E. Koksal, and P. Schniter, ``Optimal Resource Allocation in OFDMA Downlink Systems With Imperfect CSI [ieee] [pdf],'' in Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (San Francisco, CA), June 2011. [slides]
• P. Schniter, ``Achieving the Noncoherent Sparse-Channel's Capacity Prelog Factor: A Graphical-Model Approach [slides],'' presented at the Workshop on Information Theory and Applications (ITA), (La Jolla, CA), Feb. 2011. (Invited.)
• P. Schniter, ``Joint Estimation and Decoding for Sparse Channels via Relaxed Belief Propagation [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2010. (Invited.) [slides]
• S. Som, L. C. Potter, and P. Schniter, ``Compressive Imaging using Approximate Message Passing and a Markov-Tree Prior [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2010. [slides]
• J. Ziniel, L. C. Potter, and P. Schniter, ``Tracking and Smoothing of Time-Varying Sparse Signals via Approximate Belief Propagation [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2010. [slides]
• S. Murugesan, P. Schniter, and N. B. Shroff, ``Opportunistic Scheduling using ARQ feedback in Multi-Cell Downlink [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2010.
• S. Murugesan, P. Schniter, and N. B. Shroff, ``Throughput/Energy Aware Opportunistic Transmission Control in Broadcast Networks [ieee] [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2010. [slides]
• S. Som, L. C. Potter, and P. Schniter, ``On Approximate Message Passing for Reconstruction of Non-Uniformly Sparse Signals [ieee] [pdf],'' Proc. National Aerospace and Electronics Conf., (Dayton, OH), July 2010.
• P. Schniter, ``Turbo Reconstruction of Structured Sparse Signals [ieee] [pdf with typos corrected],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), Mar. 2010. [slides]
• R. Aggarwal, M. Assaad, C. E. Koksal, and P. Schniter, ``OFDMA Downlink Resource Allocation via ARQ Feedback [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers (Pacific Grove, CA), Nov. 2009. [slides]
• S.-J. Hwang and P. Schniter, ``EM-Based Soft Noncoherent Equalization of Doubly Selective Channels using Tree Search and Basis Expansion [ieee] [pdf],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (Perugia, Italy), June 2009. [slides]
• P. Schniter, ``Sparse Reconstruction as Noncoherent Decoding [slides],'' presented at the Communication Theory Workshop (CTW), (Napa, CA), May 2009. (Invited.)
• P. Schniter, L. C. Potter and S. Som, ``Sparse Reconstruction via Bayesian Variable Selection and Bayesian Model Averaging [pdf],'' presented at the Workshop on Information Theory and Applications (ITA), (La Jolla, CA), Feb. 2009. (Invited.) [slides]
• P. Schniter, L. C. Potter, and J. Ziniel, ``A Fast Posterior Update for Sparse Undetermined Linear Models [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), Nov. 2008. (Invited.)
• S. Murugesan, P. Schniter, and N. B. Shroff, ``Multiuser Scheduling in a Markov-modeled Downlink Environment [ieee] [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Sept. 2008. [proofs]
• L. C. Potter, P. Schniter, and J. Ziniel, ``Sparse Reconstruction for Radar [spie] [pdf],'' Proc. SPIE, Algorithms for Synthetic Aperture Radar Imagery, (Orlando, FL), Mar. 2008.
• R. Aggarwal, P. Schniter, and C. E. Koksal, ``Rate Adaptation via ARQ Feedback for Goodput Maximization over Time-Varying Channels [ieee] [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), Mar. 2008.
• P. Schniter, L. C. Potter, and J. Ziniel, ``Fast Bayesian Matching Pursuit [ieee] [pdf],'' Proc. Workshop on Information Theory and Applications (ITA), (La Jolla, CA), Jan. 2008. (Invited.) [code]
• S.-J. Hwang and P. Schniter, ``Fast Noncoherent Decoding of Block Transmissions Over Doubly Dispersive Channels [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), Nov. 2007.
• S. Das and P. Schniter, ``Noncoherent Communication over the Doubly Selective Channel via Successive Decoding and Channel Re-Estimation [abstract] [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2007.
• S.-J. Hwang and P. Schniter, ``Efficient Communication over Highly Spread Underwater Acoustic Channels [acm] [pdf],'' Proc. Intl. Workshop on Underwater Networks (WUWNet), (Montreal, Quebec), Sept. 2007.
• S.-J. Hwang and P. Schniter, ``Maximum Diversity Affine Precoding for the Noncoherent Doubly Dispersive Channel [ieee] [pdf],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (Helsinki, Finland), June 2007.
• H. Liu and P. Schniter, ``Iterative Frequency-Domain Channel Estimation and Equalization for Single-Carrier Transmission without Cyclic Prefix [ieee] [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS), (Baltimore, MD), Mar. 2007.
• S. Murugesan, E. Uysal-Biyikoglu and P. Schniter, ``Asymptotically Optimal Training and Scheduling in the Non-Coherent SIMO Multiple Access Channel [slides],'' presented at the Workshop on Information Theory and Applications (ITA), (San Diego, CA), Jan. 2007. (Invited.) [slides]
• S.-J. Hwang and P. Schniter, ``Near-Optimal Noncoherent Sequence Detection for Doubly Dispersive Channels [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), Nov. 2006. (Invited.)
• S. Das and P. Schniter, ``A Beamforming and Combining Strategy for MIMO-OFDM over Doubly Selective Channels [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), Nov. 2006.
• S. Das and P. Schniter, ``Design of Multi-Carrier Modulation for Doubly Selective Channels Based on a Complexity-Constrained Achievable Rate Metric [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), Nov. 2006.
• A. P. Kannu and P. Schniter, ``On the Spectral Efficiency of Noncoherent Doubly Selective Channels [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2006.
• S. Murugesan, E. Uysal-Biyikoglu and P. Schniter, ``Scaling-law Optimal Training and Scheduling in the MIMO Uplink [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2006.
• S.-J. Hwang and P. Schniter, ``Efficient Sequence Detection of Multi-Carrier Transmissions Over Doubly Dispersive Channels [ieee] [pdf],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (Cannes, France), July 2006.
• H. Liu, P. Schniter, H. Fu, and R. A. Casas, ``Frequency Domain Turbo Equalization for Vestigial Sideband Modulation with Punctured Trellis Coding [ieee] [pdf],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (Cannes, France), July 2006.
• P. Schniter, ``On Doubly Dispersive Channel Estimation for Pilot-Aided Pulse-Shaped Multicarrier Modulation [ieee] [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), Mar. 2006.
• A. P. Kannu and P. Schniter, ``Minimum Mean-Squared Error Pilot-Aided Transmission for MIMO Doubly Selective Channels [ieee] [pdf],'' in Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), Mar. 2006.
• S.-J. Hwang and P. Schniter, ``On the Optimality of MMSE-GDFE Pre-Processed Sphere Decoding [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2005.
• A. R. Margetts and P. Schniter, ``On the Channel Correlation Structure of Wideband Scale-Lag RAKE Fingers [ieee] [pdf],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (New York, NY), June 2005.
• A. P. Kannu and P. Schniter, ``Capacity Analysis of MMSE Pilot Patterns for Doubly Selective Channels [ieee] [pdf],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (New York, NY), June 2005.
• Y.-H. Nam, K. Azarian, H. El Gamal, and P. Schniter, ``Cooperation Through ARQ [ieee],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (New York, NY), June 2005.
• A. R. Margetts, P. Schniter, and A. Swami, ``Scale-Lag Diversity Reception in Mobile Wideband Channels [ieee] [pdf],'' Proc. IEEE Conf. on Acoustics Speech and Signal Processing (Philadelphia, PA), vol. III, pp. 321-324, Mar. 2005.
• A. P. Kannu and P. Schniter, ``MSE-Optimal Training for Linear Time-Varying Channels [ieee] [pdf],'' Proc. IEEE Conf. on Acoustics Speech and Signal Processing (Philadelphia, PA), vol. III, pp. 789-792, Mar. 2005.
• A. R. Margetts and P. Schniter, ``Joint Scale-Lag Diversity in Mobile Ultra-Wideband Systems [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), pp. 1496-1500, Nov. 2004.
• P. Schniter and H. Liu, ``Iterative Frequency-Domain Equalization for Single-Carrier Systems in Doubly Dispersive Channels [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), pp. 667-671, Nov. 2004.
• S. Das and P. Schniter, ``A New Pulse Shaped Frequency Division Multiplexing Technique for Doubly Dispersive Channels [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), pp. 657-661, Nov. 2004.
• K. Azarian, H. El Gamal, and P. Schniter, ``On the Achievable Diversity-Multiplexing Tradeoff in Half Duplex Cooperative Channels [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2004.
• P. Schniter, ``On the Design of Non-(Bi)Orthogonal Pulse-Shaped FDM for Doubly Dispersive Channels [ieee] [pdf],'' IEEE Conf. on Acoustics Speech and Signal Processing (Montreal, Quebec), vol. 3, pp. 817-820, May 2004.
• P. Schniter and A. M. Sayeed, ``A Sparseness-Preserving Virtual MIMO Channel Model [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), pp. 36-41, Mar. 2004.
• A. P. Kannu and P. Schniter, ``Reduced-Complexity Decision-Directed Pilot-Aided Tracking of Doubly Selective Channels [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), pp. 915-920, Mar. 2004.
• K. Azarian, H. El Gamal, and P. Schniter, ``On the Achievable Diversity-vs-Multiplexing Tradeoff in Cooperative Channels [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), pp. 956-960, Mar. 2004.
• P. Schniter, ``A Low-Complexity Receiver for OFDM in Doubly Selective Channels [ieee] [pdf] Proc. IEEE Global Communications Conf., (San Francisco, CA), vol. 4, pp. 2285-2289, Dec. 2003.
• P. Schniter and H. Liu, ``Iterative Equalization for Single-Carrier Cyclic-Prefix in Doubly Dispersive Channels [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), vol. 1, pp. 502-506, Nov. 2003.
• A.R. Margetts and P. Schniter, ``Chip-Rate Adaptive Two-Stage Receiver for Scrambled Multirate CDMA Downlink [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), vol. 1, pp. 465-469, Nov. 2003.
• P. Schniter, ``A New Approach to Multicarrier Pulse Design for Doubly Dispersive Channels [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), pp. 1012-1021, Oct. 2003.
• A.R. Margetts and P. Schniter, ``Adaptive Inter-chip Interference Cancellation of Multirate Scrambled Downlink CDMA [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), pp. 1809-1810, Oct. 2003.
• K. Azarian, H. El Gamal, and P. Schniter, ``On the Design of Cooperative Transmission Schemes [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), pp. 1576-1585, Oct. 2003.
• P. Schniter, ``Low-Complexity Estimation of Doubly Selective Channels [ieee] [pdf],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, (Rome, Italy), pp. 200-204, June 2003.
• M. Joho and P. Schniter, ``Frequency Domain Realization of a Multichannel Blind Deconvolution Algorithm Based on the Natural Gradient [ntt] [pdf],'' Proc. Independent Component Analysis and Blind Signal Separation Conf., (Nara, Japan), pp. 543-548, Apr. 2003.
• B. Bhukania and P. Schniter, ``On the Robustness of Decision-Feedback Detection of DPSK and Differential Unitary Space-Time Modulation in Rayleigh-Fading Channels [ieee] [pdf],'' Proc. IEEE Wireless Communications and Networking Conf. (New Orleans, LA), pp. 218-222, Mar. 2003.
• M. Joho and P. Schniter, ``On Frequency-Domain Implementations of Filtered-Gradient Blind Deconvolution Algorithms [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), pp. 1653-1658, Nov. 2002.
• P. Schniter and A.R. Margetts, ``Adaptive Chip-Rate Equalization of Downlink Multirate Wideband CDMA [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), pp. 1228-1232, Nov. 2002.
• P. Schniter and S. D'Silva, ``Low-Complexity Detection of OFDM in Doubly Dispersive Channels [ieee] [pdf] Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), pp. 1799-1803, Nov. 2002.
• B. Bhukania and P. Schniter, ``Decision-Feedback Detection of Differential Unitary Space-Time Modulation in Fast Rayleigh-Fading Channels [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2002.
• R. Baraniuk, C.S. Burrus, B. Hendricks, G. Henry, A. Hero, D. Johnson, D. Jones, R. Nowak, J. Odegard, L. Potter, R. Reedstrom, P. Schniter, I. Selesnick, D. Williams, and B. Wilson, ``Connexions: DSP Education for a Networked World [ieee] [pdf],'' Proc. Int. Conf. on Acoustics, Speech, and Signal Processing, (Orlando, FL), vol. 4, pp. 4144-4147, May 2002.
• B. Bhukania and P. Schniter, ``Multiple-Symbol Differential Detection of Differential Unitary Space-Time Modulation in Fast-Fading Channels with Known Correlation [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS), (Princeton, NJ), Mar. 2002.
• I. M. Garrison, R. K. Martin, W. A. Sethares, B. Hart, W. Chung, J. Balakrishnan, R. A. Casas, T. J. Endres, M. Larimore, P. Schniter, and C. R. Johnson, Jr. ``DTV Channel Characterization [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS) (Baltimore, MD), Mar. 2001.
• P. Schniter, ``Existence and Performance of Shalvi-Weinstein Estimators [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 2000. (Invited.)
• P. Schniter, ``Performance Analysis of Godard-Based Channel Identification [ieee] [pdf],'' Proc. IEEE Adaptive Systems for Signal Processing, Communication and Control Symposium (Lake Louise, Alberta), pp. 390-395, Oct. 2000.
• P. Schniter and C.R. Johnson, Jr., ``Bounds for the MSE Performance of Constant Modulus Estimators [pdf],'' Proc. Conf. on Information Sciences and Systems (CISS) (Princeton, NJ), Mar. 2000.
• P. Schniter and C.R. Johnson, Jr., ``SINR-based Sufficient Conditions for CMA Desired-User-Lock [ieee] [pdf],'' Proc. IEEE Wireless Communications and Networking Conf. (New Orleans, LA), Sept. 1999.
• P. Schniter and C.R. Johnson, Jr., ``On the Robustness of Blind Linear Receivers for Short-Code CDMA [ieee] [pdf],'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (Annapolis, MD), May 1999.
• P. Schniter and C.R. Johnson, Jr., ``DSE-CMA: The Complex-Valued Case [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), Nov. 1998.
• P. Schniter and C.R. Johnson, Jr., ``Minimum-Entropy Blind Acquisition/Equalization for Uplink DS-CDMA [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 1998.
• P. Schniter and C.R. Johnson, Jr., ``The Dithered Signed-Error Constant Modulus Algorithm [ieee] [pdf],'' Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, (Seattle, WA), May 1998.
• J.D. Behm, T.J. Endres, P. Schniter, C.R. Johnson, Jr., M.L. Alberi, C. Prettie, C.R. Johnson, Jr., and I. Fijalkow, ``Characterization of an Empirically-Derived Database of Time-Varying Microwave Channel Responses [ieee] [pdf],'' Proc. Asilomar Conf. on Signals, Systems, and Computers, (Pacific Grove, CA), Nov. 1997.
• D.R. Brown, P.B. Schniter, and C.R. Johnson, Jr., ``Computationally Efficient Blind Equalization [pdf],'' Proc. Allerton Conf. on Communication, Control, and Computing, (Monticello, IL), Oct. 1997.
• R.A. Casas, F. Lopez de Victoria, I. Fijalkow, P. Schniter, T.J. Endres, and C.R. Johnson, Jr., ``On MMSE Fractionally-Spaced Equalizer Design [ieee] [pdf],'' Proc. 13th Int. Conf. on Digital Signal Processing, (Santorini, Greece), July 1997.

book chapters:

• R. Ahmad and P. Schniter, ``Recovering Signals with Unknown Sparsity in Multiple Dictionaries [springer] [pdf],'' in Compressed Sensing and its Applications, Vol.2 (G. Kutyniok, G. Caire, H. Boche, R. Calderbank, and R. Mather, eds.), Birkhauser, 2017.
• P. Schniter and S. Rangan, ``A Message-Passing Approach to Phase Retrieval of Sparse Signals [springer] [pdf],'' in Excursions in Harmonic Analysis, Vol.4, (Radu Balan, Matthew Begue, John J. Benedetto, Wojciech Czaja, and Kasso Okoudjou, eds.), pp. 177-204, Birkhauser, 2015.
• P. Schniter, S.-J. Hwang, S. Das, and A. P. Kannu, ``Equalization of Time-Varying Channels [elsevier] [pdf],'' in Wireless Communications over Rapidly Time-Varying Channels, (Franz Hlawatsch and Gerald Matz, eds.), Elsevier Academic Press, 2011.
• C.R. Johnson, Jr., P. Schniter, I. Fijalkow, L. Tong, J.D. Behm, M.G. Larimore, D.R. Brown, R.A. Casas, T.J. Endres, S. Lambotharan, H.H. Zeng, A. Touzni, M. Green, and J.R. Treichler, ``The Core of FSE-CMA Behavior Theory [pdf],'' in Unsupervised Adaptive Filtering, Vol.2: Blind Deconvolution, (Simon Haykin, ed.), pp. 13-112, Wiley, 2000.

phd dissertation:

• P. Schniter, Blind Estimation without Priors: Performance, Convergence, and Efficient Implementation [pdf], PhD Dissertation, Cornell University, May 2000.

technical reports:

• C. Chen, Y. Liu, P. Schniter, M. Tong, K. Zareba, O. Simonetti, L. Potter, R. Ahmad, ``OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging [arxiv] [github],''
• S.-J. Hwang and P. Schniter, ``Soft Noncoherent Equalization of Doubly Selective Channels using Basis Expansion and Tree Search [pdf].'' Technical Report No. 11-03, IPS Laboratory, Mar. 2011.
• P. Schniter, L. C. Potter, and J. Ziniel, ``Fast Bayesian Matching Pursuit: Model Uncertainty and Parameter Estimation for Sparse Linear Models [pdf].'' Technical Report No. 09-06, IPS Laboratory, June 2009.
• S. Murugesan and P. Schniter, Opportunistic Multiuser Scheduling in Three State Markov-modeled Downlink [pdf] Technical Report No. 08-08, IPS Laboratory, Aug. 2008.
• P. Schniter and H. Liu, ``Iterative Frequency-Domain Equalization of Single-Carrier Transmissions over Doubly Dispersive Channels [pdf].'' Technical Report No. 05-02, IPS Laboratory, Feb. 2005.
• P. Schniter, A Derivation of the Steady-State MSE of RLS: Stationary and Non-Stationary Cases [pdf] Technical Report No. 01-11, IPS Laboratory, Nov. 2001.
  
• P. Schniter, The Role of the Receive Filter in BSE/FSE Comparisons [pdf] (4/99)
  
• P. Schniter, A Shalvi-Weinstein Initialization Lemma [pdf] (1/99)
  
• P. Schniter, Geometrical Interpretations of the MOE Receiver [pdf] (9/98)
  
• P. Schniter, Linear and Decision Feedback Equalization Structures for Asynchronous DS-CDMA under ICI [pdf] (4/98)
  
• P. Schniter, The Effect of Timing Offset on Fractionally-Spaced CMA [pdf] (3/98)
  
• P. Schniter, On VSB Modulation [pdf] (2/98)
  
• P. Schniter, Towards a Geometrical Understanding of Undermodelled CMA [pdf] (10/97)
  
• P. Schniter, CMA Cost and Gradient Expressions: Three Important Cases [pdf] (6/97)
  
• P. Schniter, Considerations in BSE vs. FSE Comparisons [pdf] (2/97)
  
• P. Schniter, CMA-FSE Error Surface Examples [pdf] (7/96)
  

tutorials:

• R. A. Casas and P. Schniter, DFE Tutorial [pdf] (5/98)
  
• P. Schniter, CMA Cost Surface [html] (11/96)
  

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