DocumentCode
3333422
Title
Configuring stack filters by the LMS algorithm
Author
Ansari, Nirwan ; Huang, Yuchou ; Lin, Jean-Hsang
Author_Institution
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear
1991
fDate
30 Sep-1 Oct 1991
Firstpage
570
Lastpage
579
Abstract
Stack filters are a class of sliding-window nonlinear digital filters that possess the weak superposition property (threshold decomposition) and the ordering property known as the stacking property. They have been demonstrated to be robust in suppressing noise. A new method based on the least means squares (LMS) algorithm is developed to adaptively configure a stack filter. Experimental results are presented to demonstrate the effectiveness of the proposed method to noise suppression
Keywords
adaptive filters; digital filters; interference suppression; least squares approximations; least mean squares algorithm; noise suppression; sliding-window nonlinear digital filters; stack filters; threshold decomposition; weak superposition property; Adaptive filters; Adaptive signal processing; Digital signal processing; Filtering; Least squares approximation; Noise robustness; Signal processing; Signal processing algorithms; Stacking; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing [1991]., Proceedings of the 1991 IEEE Workshop
Conference_Location
Princeton, NJ
Print_ISBN
0-7803-0118-8
Type
conf
DOI
10.1109/NNSP.1991.239484
Filename
239484
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