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Digital Signal Processing I

SE 251A (4 credits)

Discrete random signals; conventional (FFT based) spectral estimation. Coherence and transfer function estimation; model-based spectral estimation; linear prediction and AR modeling. Levinson-Durbin algorithm and lattice filters, minimum variance spectrum estimation. Cross-listed with SIO 207B. SIO 207A is intended for graduate students who have not had an undergraduate course in DSP. (Recommended prerequisites: ECE 153 in addition to either ECE 161 or 161A and SIO 207A or equivalent background.) Prerequisites: graduate standing



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