Title :
Strategies for adaptive nonlinear noise reduction Volterra-Wiener filter structure selection
Author :
Biernacki, Pawel
Author_Institution :
Tech. Univ. of Wroclaw, Wroclaw
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;
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
DOI :
10.1109/ICECS.2006.379918