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A new signal estimation algorithm for use in Wiener filtering

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2 Author(s)
Lindquist, Claude S. ; Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA ; Powell, C.C.

A nonlinear smoothing algorithm is presented for determining signal autocorrelation and power spectral density matrices. The algorithm can be utilized to generate matrix filters. It is used to form a Wiener estimation filter. Simulations are presented to confirm the usefulness of the smoothing algorithm and to suggest a time-varying memoryless filter approach

Published in:

Circuits and Systems, 1990., IEEE International Symposium on

Date of Conference:

1-3 May 1990

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