FIR-MYRIAD Hybrid Filters for Signal Processing in Impulsive Noise Environments

Bin  Lin; ChengYu   Zhang; XuDong  Wang; Chen   Gu; Baisuo  Wang

1st International ICST Conference on Communications and Networking in China

Research Article

FIR-MYRIAD Hybrid Filters for Signal Processing in Impulsive Noise Environments

Cite: BibTeX Plain Text

@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

Bin Lin¹^,*, ChengYu Zhang¹, XuDong Wang¹, Chen Gu¹, Baisuo Wang¹

1: Information Engineering College, Dalian Maritime University, Dalian Liaoning, 116026, China

*Contact email: linbin0610@sina.com

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.

Published: 2007-04-10
Publisher: IEEE

: http://dx.doi.org/10.1109/CHINACOM.2006.344850