Parallel frequency domain adaptive line enhancer

Author

El-Sharkawy, Mohamed ; Aburdene, Maurice

Author_Institution

Dept. of Electr. Eng., Bucknell Univ., Lewisburg, PA, USA

fYear

1988

fDate

10-12 Oct 1988

Firstpage

143

Lastpage

146

Abstract

A comparative study is presented of parallel implementations of three least-mean-square FDALE (frequency domain adaptive line enhancer) algorithms based on circular and/or linear convolution of the filter delayed input and its impulse response. The first algorithm is based on circular convolution only. The second algorithm is a constrained least-mean-square algorithm that performs strictly linear convolution. The third is an unconstrained least-mean-square algorithm that allows either linear or circular convolution, whichever best minimizes the mean square error. Two models of the Connection Machine (CM-1 and CM-2) and one model of the Balance Machine (Balance 8000) were used in this study. Simulation results, speedup factors and estimated spectra for algorithms based on circular and linear convolution are presented

Keywords

adaptive filters; computerised signal processing; frequency-domain analysis; least squares approximations; parallel algorithms; transient response; Balance 8000; Balance Machine; CM-1; CM-2; Connection Machine; convolution; estimated spectra; filter delayed input; impulse response; least-mean-square FDALE; models; parallel frequency domain adaptive line enhancer; simulation results; speedup factors; Computational modeling; Convolution; Delay; Frequency domain analysis; Least mean square algorithms; Line enhancers; Parallel processing; Signal to noise ratio; Space technology; Trademarks;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers of Massively Parallel Computation, 1988. Proceedings., 2nd Symposium on the Frontiers of

Conference_Location

Fairfax, VA

Print_ISBN

0-8186-5892-4

Type

conf

DOI

10.1109/FMPC.1988.47451

Filename

47451