Spring 2008
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ECE 513
Vector Space Signal Processing

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. Prerequisite: ECE 313, ECE 410, and MATH 415.


Section Information
CRNTypeSectionTimeDays Location  Instructor
44849  lecture  11:00 AM - 12:20 PM MW  room 57
Everitt Elec and Comp Engr Lab 
Bresler, Y 
4 hours