ECE 513

spring 2006
 
All Classes

Credit: 4 hours.

Fundamentals of linear least squares estimation of discrete-time signals and their spectra; minimum-norm least squares and total least squares solutions; singular value decomposition; Wiener and Kalman filtering; autoregressive spectral analysis; and the maximum entropy method. Prerequisite: ECE 410, ECE 413, MATH 418 or equivalent; or consent of instructor.

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