ECE 513
Spring 2008 All Classes
All Classes
Credit: 4 hours.
Rigorous presentation of key mathematical tools in a vector space framework, including: finite and infinite dimensional vector spaces, Hilbert spaces, orthogonal projections, subspace techniques, least-squares methods, matrix decomposition, conditioning and regularizations, bases and frames, the Hilbert space of random variables, random processes, iterative methods; and their applications in signal processing, including: inverse problems, filter design, sampling, interpolation, sensor array processing, and signal and spectral estimation.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
44849
|
Lecture
|
D
|
11:00AM
-12:20PM
|
MW
|
57 Everitt Laboratory
|
Bresler, Y
|
|