By Topic

The application of Volterra series to signal estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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