Block trigonometric transform adaptive filtering

Author

Merched, Ricardo ; Sayed, Ali H.

Author_Institution

Dept. of Electr. Eng., California State Univ., Los Angeles, CA, USA

Volume

1

fYear

1998

fDate

1-4 Nov. 1998

Firstpage

384

Abstract

Frequency-domain implementations improve the computational efficiency and the convergence rate of adaptive schemes. This paper develops frequency-domain adaptive structures that are based on the trigonometric transforms DCT and DST. The structures involve only real arithmetic and efficient algorithms exist for computing these transforms. The new filters are derived by first presenting a derivation for the classical DFT-based filter that allows us to pursue these extensions very immediately.

Keywords

adaptive filters; computational complexity; convergence of numerical methods; discrete cosine transforms; frequency-domain analysis; DCT; DFT-based filter; DST; adaptive schemes; block trigonometric transform adaptive filtering; computational efficiency; convergence rate; frequency-domain adaptive structures; frequency-domain implementations; trigonometric transforms; Acoustic applications; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Arithmetic; Computational complexity; Convergence; Covariance matrix; Discrete cosine transforms; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5148-7

Type

conf

DOI

10.1109/ACSSC.1998.750891

Filename

750891