ee806: detection and estimation theory

lecture: MW(F) 3:30-5:00pm, 220 caldwell labs
instructor: prof. phil schniter
office hours: MTu 2:30-3:30, 760 dreese labs


grader: nikhil jatana
office hours: by appointment.

course syllabus [pdf]

bulletin board:

• Final exam consisted of 55 (15/25/15) points. Final Exam Histogram.
• Cumulative grades were based on 22% homework, 33% midterm, and 45% final. Lowest homework score was omitted. Cumulative Histogram.
• It is my policy not to return the final exams. However, you are welcome to come to my office and look over your graded exam. The best time to catch me is in the afternoons.
• Thanks for your hard work and have a great summer!

handouts:

• ee804 suggested review [pdf]:

  quiz from 1997, quiz solutions

• Hypothesis testing overviews [pdf]:

  Bayes

  Minimax

  Neyman-Pearson

  Composite

• Signal detection [pdf]:

  Noncoherent AM signal detection

  Signal detection overview

• Estimation examples [pdf]:

  Bayesian Example 1

  Bayesian Example 2

  MVUE example

  CRLB example

  ML example

• Estimation overviews [pdf]:

  Bayesian

  Non-Random

  Maximum likelihood

homework:

Homework 1 [pdf] (hw1dat, binchan.m)	Solutions 1 [pdf]
Homework 2 [pdf],	Solutions 2 [pdf]
Homework 3 [pdf],	Solutions 3 [pdf]
Homework 4 [pdf],	Solutions 4 [pdf]
Homework 5 [pdf],	Solutions 5 [pdf]
Midterm Solutions [pdf]	Histogram [pdf]
Homework 6 [pdf], (hw6dat)	Solutions 6 [pdf]
Homework 7 [pdf],	Solutions 7 [pdf]