Title :
A fast frequency-domain adaptive algorithm
Author :
Mikhael, Wasfy B. ; Spanias, Andreas S.
Author_Institution :
Dept. of Electr. Eng., West Virginia Univ., Morgantown, WV, USA
fDate :
1/1/1988 12:00:00 AM
Abstract :
A time-varying convergence factor μ is proposed for the frequency-domain LMS (least-mean-square) adaptive algorithm, which results in the frequency-domain optimal block algorithm (FOBA). The FOBA is the frequency-domain implementation of the recently proposed optimum block algorithm (OBA). The FOBA results in computational savings in comparison to the OBA and in performance enhancement relative to the frequency-domain LMS algorithm
Keywords :
filtering and prediction theory; frequency-domain analysis; least squares approximations; LMS; computational savings; fast frequency-domain adaptive algorithm; least-mean-square; optimal block algorithm; performance enhancement; time-varying convergence factor; Adaptive algorithm; Adaptive filters; Convergence; Equations; Finite impulse response filter; Frequency; Least squares approximation; Time domain analysis; US Department of Agriculture; Variable speed drives;
Journal_Title :
Proceedings of the IEEE
