Block Adaptive Filter With Time-Domain Update Using Three Transforms

Author

Narasimha, Madihally J.

Author_Institution

Stanford Univ., CA

Volume

14

Issue

1

fYear

2007

Firstpage

51

Lastpage

53

Abstract

Implementation of real signal block adaptive filters with time-domain update using three fast Fourier transforms (FFTs) is delineated. The reduction from five to three FFTs is achieved by combining the required convolution and correlation operations into a single complex filtering process. The proposed method requires fewer additions than the conventional five FFT solution. It also has a more elegant architecture that is simpler to implement in hardware or software

Keywords

adaptive filters; convolution; correlation methods; fast Fourier transforms; filtering theory; time-domain analysis; FFT; block adaptive filter; convolution operation; correlation operation; fast Fourier transform; filtering process; hardware implementation; software implementation; time-domain update; Adaptive filters; Convolution; Discrete Fourier transforms; Fast Fourier transforms; Filtering; Finite impulse response filter; Flexible printed circuits; Least squares approximation; Signal processing algorithms; Time domain analysis; Block adaptive filters; overlap-save algorithm; time-domain update;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2006.881521

Filename

4035708