Title :
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
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;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112008