Electrical Engineering and Computer Science

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Winter 2013: Advanced Signal Processing & Applications

Course No.: 498
Credit Hours: 3
Instructor: Prof. Raj Rao Nadakuditi
Prerequisites: 401, 451

Course Description:
Course No.: 498
Credit Hours: 3
Instructor: Raj Rao Nadakuditi
Prerequisites: EECS 451, EECS 401 or permission of instructor

Course Description:
This is an course on advanced topics in signal processing designed to follow up on principles learned in EECS 451 and EECS 401. The central theme of the course is the application of tools from linear algebra to signal processing. Theoretical topics include solving least-squares problems, eigenvalues and eigenvalues, the singular value decomposition, Markov chains, power method. Synergistic applications covered include image compression, handwriting recognition, Googles PageRank algorithm, eigen-faces, community detection in networks, and deconvolution. Students are expected to be familiar with material covered in EECS 451 and EECS 401 and should have basic MATLAB programming skills (such as writing loops, plotting functions, etc.) [More Info]