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
fDate :
30 Sep-1 Oct 1991
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;
Conference_Titel :
Neural Networks for Signal Processing [1991]., Proceedings of the 1991 IEEE Workshop
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-0118-8
DOI :
10.1109/NNSP.1991.239484
