EECE 6250 - Digital Spectral Analysis (3)

Review of classical parametric models of random processes and spectral estimation methods, autoregressive spectral estimation: block data algorithms and sequential data algorithms, autoregressive-moving average spectral estimation, Prony’s method, minimum variance spectral estimation and eigen analysis based frequency estimation. Prerequisite(s): EECE 5220 or equivalent.

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