Blind adaptive filtering in the frequency domain

Author

Shynk, John J. ; Chan, Christina K. ; Petraglia, Mariane R.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbra, CA, USA

fYear

1990

fDate

1-3 May 1990

Firstpage

275

Abstract

Efficient block implementations which are based on frequency-domain techniques of the constant modulus and the P-vector least-mean-square blind algorithms are described. These realizations have much less computational complexity than nonblock time-domain methods, and they can have improved convergence properties. Although several implementations are possible, including filter-bank and multirate structures, only linear convolution methods are used. A frequency-domain realization of a T/2-spaced constant modulus algorithm equalizer is examined, and computer simulations are presented

Keywords

adaptive filters; computational complexity; filtering and prediction theory; frequency-domain analysis; P-vector least-mean-square blind algorithms; block implementations; computational complexity; constant modulus; convergence properties; frequency domain; frequency-domain realization; linear convolution methods; Adaptive algorithm; Adaptive filters; Computer errors; Convergence; Convolution; Estimation error; Frequency domain analysis; Information processing; Least squares approximation; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., IEEE International Symposium on

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/ISCAS.1990.112008

Filename

112008