A row-action projection algorithm for adaptive filtering

Author

Doherty, J.F. ; Mammone, R.J.

Author_Institution

Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA

fYear

1990

fDate

3-6 Apr 1990

Firstpage

1397

Abstract

A fast, stable adaptive algorithm, the row-action projection (RAP) algorithm, that is amenable to a wide range of signal processing applications is presented. Many problems in signal processing can be formulated as a regression parameter estimation problem, yielding a system of linear equations which is generally inconsistent and ill-conditioned. Problems formulated in this way include autoregressive speech modeling, spectrum estimation, array processing, and channel equalization. The algorithm iteratively estimates the unknown coefficients by using each equation of the system more than once. Simulation results are presented that show the stable performance of the RAP algorithm

Keywords

adaptive filters; filtering and prediction theory; least squares approximations; parameter estimation; signal processing; speech analysis and processing; RAP algorithm; adaptive filtering; array processing; autoregressive speech modeling; channel equalization; fast stable adaptive algorithm; regression parameter estimation; row-action projection algorithm; signal processing; spectrum estimation; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Array signal processing; Equations; Iterative algorithms; Parameter estimation; Projection algorithms; Signal processing algorithms; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115649

Filename

115649