ECE 513
Spring 2006 All Classes
All Classes
Credit: 4 hours.
Fundamentals of linear least squares estimation of discrete-time signals and their spectra; minimum-norm least squares and total least squares solutions; singular value decomposition; Wiener and Kalman filtering; autoregressive spectral analysis; and the maximum entropy method.
Prerequisite: ECE 410, ECE 413, MATH 418 or equivalent; or consent of instructor.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
44849
|
Lecture
|
D
|
3:00PM
-4:20PM
|
MW
|
170 Everitt Laboratory
|
Bresler, Y
|
|