DocumentCode
2960857
Title
Strategies for adaptive nonlinear noise reduction Volterra-Wiener filter structure selection
Author
Biernacki, Pawel
Author_Institution
Tech. Univ. of Wroclaw, Wroclaw
fYear
2006
fDate
10-13 Dec. 2006
Firstpage
834
Lastpage
837
Abstract
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.
Keywords
Volterra series; Wiener filters; computational complexity; higher order statistics; nonlinear filters; Volterra-Wiener filter; adaptive nonlinear noise reduction; computation complexity ratio; higher-order statistics; noise cancelling quality; parameters selection; Adaptive filters; Electronic mail; Estimation error; Filtering theory; Fourier series; Higher order statistics; Noise cancellation; Noise figure; Noise reduction; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2006. ICECS '06. 13th IEEE International Conference on
Conference_Location
Nice
Print_ISBN
1-4244-0395-2
Electronic_ISBN
1-4244-0395-2
Type
conf
DOI
10.1109/ICECS.2006.379918
Filename
4263496
Link To Document