Research Article
FIR-MYRIAD Hybrid Filters for Signal Processing in Impulsive Noise Environments
@INPROCEEDINGS{10.1109/CHINACOM.2006.344850, author={Bin Lin and ChengYu Zhang and XuDong Wang and Chen Gu and Baisuo Wang}, title={FIR-MYRIAD Hybrid Filters for Signal Processing in Impulsive Noise Environments}, proceedings={1st International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2007}, month={4}, keywords={}, doi={10.1109/CHINACOM.2006.344850} }- Bin Lin
ChengYu Zhang
XuDong Wang
Chen Gu
Baisuo Wang
Year: 2007
FIR-MYRIAD Hybrid Filters for Signal Processing in Impulsive Noise Environments
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2006.344850
Abstract
A new class of nonlinear filters called FIR-weighted myriad hybrid (FIR-WMyH) filters was introduced. These filters have a combination structure of linear FIR filters and weighted myriad filter, and can efficiently utilize the special strongpoint of two filters. Through the backpropagation algorithm used in the neural networks, we derive a stochastic gradient-based adaptive algorithm for determining optimal FIR-WMyH filters under the mean square error (MSE) criterion. In two impulsive noise models, the robust performance of this adaptive algorithm is demonstrated through the computer simulation results.
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