A conjugate-gradient-based block adaptive algorithm, its applications and performance evaluation

Author

Barsoum, Maged F. ; Mikhael, Wasfy B.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA

Volume

2

fYear

1994

fDate

3-5 Aug 1994

Firstpage

903

Abstract

Recently, an adaptive algorithm with desirable properties and useful applications, namely the Optimum Block Adaptive Shifting (OBAS) algorithm has been proposed. This paper proposes a technique to enhance the performance of the OBAS algorithm by using search directions other than the negative gradient directions used in the OBAS algorithm. The proposed directions are based on the conjugate gradient optimization method which leads to a Block Conjugate (BC) algorithm for adaptive filtering. Simulations are performed to compare the BC and the OBAS algorithms. Results of the simulations verify that the BC algorithm converges faster than the OBAS algorithm when the size of the block is relatively large (twice the adaptive filter order) and the signal to noise ratio is relatively high

Keywords

adaptive filters; conjugate gradient methods; filtering theory; BC algorithm; Block Conjugate; OBAS algorithm; Optimum Block Adaptive Shifting; adaptive filtering; block adaptive algorithm; conjugate gradient optimization; convergence; performance evaluation; signal to noise ratio; simulation; Adaptive algorithm; Adaptive filters; Computational efficiency; Convergence; Filtering algorithms; Least squares approximation; Optimization methods; Resonance light scattering; Signal processing algorithms; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on

Conference_Location

Lafayette, LA

Print_ISBN

0-7803-2428-5

Type

conf

DOI

10.1109/MWSCAS.1994.518958

Filename

518958