ECE 513 - Vector Space Signal Processing

Spring 2021

Vector Space Signal ProcessingD44849OLC40930 - 1050 M W    Yoram Bresler

Course Description

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.

Credit Hours

4 hours


Undergraduate degree and ECE 310, ECE 313, and MATH 415.

Subject Area

Electrical and Computer Engineering