Recursive approaching signal filter

Author

Sun, Chuanwen ; Rabinowitz, Philip D.

Author_Institution

Dept. of Geol. & Geophys., Texas A&M Univ., College Station, TX, USA

Volume

2

Issue

5

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

85

Lastpage

88

Abstract

A filter called the recursive approaching signal filter (RASF) is mathematically derived based on a recursive computation of the previous filtering output. A key aspect of the RASF is that it can be transformed into other linear or nonlinear filters or their combination by changing a parameter. Special attention is paid to the effect of varying this parameter on the behavior of the RASF. When tested with model data, the RASF compares favorably with other methods in removal of noise, having better edge and detailed information preservation properties and computational simplicity.<>

Keywords

adaptive filters; filtering theory; image processing; nonlinear filters; recursive filters; adaptive filter; computational simplicity; detailed information preservation; edge information preservation; filtering output; image processing; linear filters; model data; noise removal; nonlinear filters; parameter; recursive approaching signal filter; recursive computation; Adaptive filters; Equations; Filtering; Geophysics; Nonlinear filters; Signal processing; Sun;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.386285

Filename

386285