Optimizing the performance of polynomial adaptive filters: makingquadratic filters converge like linear filters

Authors:
C.W. Therrien;W.K. Jenkins;Xiaohui Li
Affiliations:
Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
1999

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Fast and robust adaptation of DFT-domain Volterra filters in diagonal coordinates using iterated coefficient updates

IEEE Transactions on Signal Processing

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Abstract

The correlation properties of the input vector determine the rate of convergence of the LMS algorithm for Volterra adaptive filters and are optimal when the nonlinear input terms are uncorrelated. This correspondence presents new results on the correlation properties for second-order Volterra filters and shows that when the input signal is whitened, the nonlinear terms automatically become uncorrelated