Title :
An adaptive WOS filtering algorithm without using threshold decomposition
Author :
Yin, Lin ; Neuvo, Yrjö
Author_Institution :
Dept. of Electr. Eng., Tampere Univ. of Technol., Finland
Abstract :
A fast adaptive algorithm is developed for training optimal weighted order statistic (WOS) filters under the mean absolute error (MAE) criterion. This algorithm is implemented without use of threshold decomposition and can be applied to arbitrary real-valued signals directly. It can easily be extended to finite impulse response (FIR)-WOS hybrid filters. An interesting application of adaptive WOS and FIR WOS hybrid filters is presented
Keywords :
FIR filters; adaptive filters; filtering theory; signal processing; FIR filters; MAE criteria; fast adaptive algorithm; finite impulse response; hybrid filters; mean absolute error; optimal WOS filters; real-valued signals; training; weighted order statistic filters; Adaptive algorithm; Adaptive filters; Binary search trees; Error analysis; Filtering algorithms; Finite impulse response filter; Nonlinear filters; Signal restoration; Statistics; Vectors;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393875
