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The application of Volterra series to signal estimation

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2 Author(s)
Morrison, I.J. ; Dept. of Eng., Cambridge Univ., UK ; Rayner, P.J.W.

The authors examine the problem of estimating signals corrupted by additive non-Gaussian noise. Since the linear filter is known to be optimal if the noise is Gaussian, they apply general nonlinear filters, based on Volterra series, to the non-Gaussian case. Nonlinear Wiener filters are derived, and their performance investigated in example non-Gaussian noise densities

Published in:

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Date of Conference:

14-17 Apr 1991

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