Title

Gradient Algorithms For Fir Adaptive Filtering--A Tutorial

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.

Publication Date

12-1-1991

Publication Title

Proceedings - IEEE International Symposium on Circuits and Systems

Volume

1

Number of Pages

560-563

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

Socpus ID

0026406539 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0026406539

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