EE
762: Detection & Estimation (Syllabus)
© Fred
Garber, 2009. All Rights Reserved.
Note: Permission to copy
and use all EE 762 course material for educational purposes is granted
to any Wright State University student currently enrolled in
EE 762.
Assignments:
- HW #1: Chapter 2 # 1,
2. Due 2009.04.01.
- HW #2: Chapter 3 # 1,
2, 3, 4, 5, 11, 13. Due 2009.04.17.
- HW #3: Chapter 4 # 1,
4, 12.
- HW #4: Chapter 10 # 3,
8, 10.
- Project #1:
First-order line fitting: Implement Example 3.7 in MatLab. Project description (pdf), my solution (MatLab).
- Project #2:
Nth-order line fitting: Project description
(pdf),
data generator, data file
p21.mat, data file p22.mat, my solution.
- Project #3:
Understand this demo of
Bernoulli-Beta conjugate priors AND produce your own from the selection
found here.
- Project #4: First-order Gaussian line fitting:
Find the MMSE estimate of x[n] = A + Bn + x[n]
with A, B, w all Gaussian.
- Here's a little script explaining how to create colored
noise from white noise, and white noise from colored noise.
- Project #5:
Implement a MatLab solution for Example 13.2.
- Project #6: Optimum
simple and composite detection for binary communications. Project
description, zip-file package.
Revised
2009 by Fred Garber, fred.garber@wright.edu