Frequency selective signal restoration using nonlinear combination filters

Author

Gandhi, Prashant P. ; Peterson, Steven R. ; Kassam, Saleem A.

Author_Institution

Signal Process. Res. Lab., Pennsylvania Univ., Philadelphia, PA, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

1522

Abstract

For restoration of nonstationary signals in impulsive noise the combination or C-filter uses rank-order dependent coefficients in an FIR (finite-impulse response) filter structure. This allows frequency selectivity as well as edge-preservation and impulse rejection. The nonlinear C-filter design is facilitated by the use of an LMS (least-mean-squares) algorithm. This approach is explained and examples are given of C-filter performance for one- and two-dimensional signals

Keywords

digital filters; filtering and prediction theory; signal processing; FIR filter; LMS algorithm; digital filters; edge-preservation; finite-impulse response; frequency selectivity; impulse rejection; impulsive noise; least-mean-squares; nonlinear C-filter design; nonlinear combination filters; nonstationary signals; one-dimensional signals; rank-order dependent coefficients; signal restoration; two-dimensional signals; Additive noise; Algorithm design and analysis; Filtering; Finite impulse response filter; Frequency; Least squares approximation; Nonlinear filters; Signal processing; Signal restoration; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196893

Filename

196893