Strategies for adaptive nonlinear noise reduction Volterra-Wiener filter structure selection

In this article a nonlinear orthogonal noise cancelling filter parameters selection strategy is proposed to maximize noise cancelling quality to computation complexity ratio. Presented approach leads to the orthogonal realization of the nonlinear noise cancelling filter of Volterra-Wiener class whic...

Full description

Saved in:
Bibliographic Details
Main Author: Biernacki, P.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Electronic mail
Estimation error
Filtering theory
Fourier series
Higher order statistics
Noise cancellation
Noise figure
Noise reduction
Random variables
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this article a nonlinear orthogonal noise cancelling filter parameters selection strategy is proposed to maximize noise cancelling quality to computation complexity ratio. Presented approach leads to the orthogonal realization of the nonlinear noise cancelling filter of Volterra-Wiener class which structure changes due to higher-order statistics of the filtered signals.
DOI:10.1109/ICECS.2006.379918