ECE 513 Lectures

Week; Lecture Topics and Important Events
1/22 Section 1.2
1/27 Sections 1.3-1.7
2/3 Sections 1.8-2.7
HW1 due 2/3
2/10 Sections 2.8-3.1
2/17 Section 3.2-4.3
HW2 due 2/17
2/24 Sections 4.4-5.3
3/3 Sections 5.4-5.7
HW3 due 3/3
3/10 Chapter 6
3/17 Sections 7.1-7.2
Exam 1
HW4 due 3/17
3/24 Spring Break
3/31 Sections 7.3-7.5
4/7 Sections 8.1-8.3
4/14 Sections 9.1-9.6 HW5 due 4/14
4/21 Amari and Nagaoka, Chapter 2
4/28 Nemhauser et al., Pati et al., and Donoho and Elad
HW6 due April 28; Exam 2, May 1
5/5 5/5: No lecture
5/7: Final project presentations, 9:30-10:50 in Everitt 168, 12:30-1:50 in Beckman 2369

ECE 513 (Vector Space Signal Processing) covers 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; applications in signal processing, including inverse problems, filter design, sampling, interpolation, sensor array processing, and signal and spectral estimation. Course Information: Prerequisite: ECE 310, ECE 313, and Math 415.