# ECE 7251: Signal Detection and Estimation

Georgia Institute of Technology

Spring 2002

**Instructor:** Prof. Aaron Lanterman

**Office:** GCATT 334B

**Phone:** 404-385-2548

**E-mail:** lanterma@ece.gatech.edu

**Course website**: users.ece.gatech.edu/~lanterma/ece7251

**When and where:** MWF, 12:05-12:55,

212 Engineering Science and Mechanics Building

# Syllabus

# Selected Lectures

- Lecture 1: Introduction (1/4/01)

(ppt)

(pdf) - Lecture 2: Sufficient Statistics and Exponential Families (1/7/01)

(ppt)

(pdf) (Poor, pp. 158-160, 164; Hero, pp. 24-30; some lecture

examples taken from pp. 30-33 of Srinath)

Suggested problems: Hero, Sec. 3.5, #5, #6 (parts a and b only) - Lecture 3: Introduction to Bayesian Estimation (1/9/01)

(ppt)

(pdf) (Poor, pp. 142-147)

(Poor, pp. 142-147; Hero pp.

32-38) - Lecture 4: Examples of Bayesian Estimation (1/11/01)

(whiteboard)

(Poor, pp. 147-152,**pay particular attention to Example IV.B.2**;

Hero, pp. 38-42)

Suggested problems: Poor, Sec. IV.F: #1, #7 - Lecture 5: More Examples and Properties

of Bayesian Estimation

(1/14/01)

(whiteboard)

(Hero, pp. 42-46)

Suggested problem: Poor, Sec. IV. F: #25 (parts a and b only)

Highly suggested problem: Try to derive the CME, CmE, and MAP estimators

on pp. 43-44 of Hero (good practice with erf functions; you may need to do

integration by parts) - Lecture 6: The Orthogonality Principle in MMSE Estimation (1/16/01)

(ppt)

(pdf)

# Other Goodies

research group. He let me post his

slides and a related

short

paper

with related proofs.

Volkan did a great job; it’s

a nice distillation of some of the material in Ch. 4 of Poor. Enjoy!