EE 525 Advanced Signal Processing
Course Description:
Deterministic and statistical signal modeling based on identification of
ARMA, AR and
MA parameters. Spectrum estimation: classical methods (FFT-based methods);
modern methods (maximum likelihood, maximum entropy, AR and ARMA modeling,
eigenvalue based techniques). Digital beamforming and array signal processing;
LMS
algorithm and active arrays. Signal and image reconstruction: the method
of projections
onto convex sets (POCS); signal reconstruction from phase, magnitude; band-limited
extrapolation.
Grading: