Title :
Parallel frequency domain adaptive line enhancer
Author :
El-Sharkawy, Mohamed ; Aburdene, Maurice
Author_Institution :
Dept. of Electr. Eng., Bucknell Univ., Lewisburg, PA, USA
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;
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
DOI :
10.1109/FMPC.1988.47451
