Gradient algorithms for FIR adaptive filtering-a tutorial

Author

Mikhael, Wasfy B. ; Wu, Frank H.

Author_Institution

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

fYear

1991

fDate

11-14 Jun 1991

Firstpage

560

Abstract

A unified approach for generating fast block- and sequential-gradient LMS FIR (least mean square finite impulse response) adaptive algorithms is presented. The general formulation leads to three classes of adaptive algorithms. It is shown how each class of algorithms is obtained from the previous one by a simple trade-off between adaptation performance and computational complexity. Implementation aspects of the generated algorithms are examined and their performance is evaluated and compared with that of several recently proposed algorithms by means of computer simulations under a wide range of adaptation conditions

Keywords

adaptive filters; digital filters; digital simulation; filtering and prediction theory; FIR adaptive filtering; LMS FIR adaptive algorithms; adaptation performance; adaptive algorithms; computational complexity; computer simulations; gradient algorithms; trade-off; tutorial; unified approach; Adaptive algorithm; Adaptive filters; Computational complexity; Computer simulation; Convergence; Filtering algorithms; Finite impulse response filter; Least squares approximation; Resonance light scattering; Tutorial;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991., IEEE International Sympoisum on

Print_ISBN

0-7803-0050-5

Type

conf

DOI

10.1109/ISCAS.1991.176397

Filename

176397