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

fYear

1993

fDate

3-6 May 1993

Firstpage

930

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Conference_Location

Chicago, IL

Print_ISBN

0-7803-1281-3

Type

conf

DOI

10.1109/ISCAS.1993.393875

Filename

393875

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2606973