Discrete wavelet transform domain adaptive decision feedback equalization

Author

Ghobrial, Ayman ; Adhami, Reza

Author_Institution

ADTRAN, Inc., Huntsville, AL, USA

fYear

2002

fDate

2002

Firstpage

243

Lastpage

247

Abstract

In this paper we apply discrete wavelet transform processing to the decision feedback equalization adaptation problem. In particular, the discrete wavelet transform decision feedback equalizer (DFE) performance and complexity are compared to those of the least mean squares (LMS) and recursive least squares (RLS) algorithms. We illustrate, using a simulation example, that the wavelet transform DFE may offer better performance and more robustness against narrow-band interferences as compared to the LMS DFE at a lower complexity than the standard RLS DFE.

Keywords

decision feedback equalisers; digital communication; discrete wavelet transforms; filtering theory; intersymbol interference; least mean squares methods; decision feedback equalization; digital communication; discrete wavelet transform; domain adaptive filtering; intersymbol interference cancellation; least mean squares; recursive least squares; Adaptive filters; Decision feedback equalizers; Delay; Digital communication; Discrete wavelet transforms; Filtering algorithms; Finite impulse response filter; Least squares approximation; Resonance light scattering; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on

ISSN

0094-2898

Print_ISBN

0-7803-7339-1

Type

conf

DOI

10.1109/SSST.2002.1027043

Filename

1027043