@inproceedings{19ca097d1cf942e091ee4494809f28c6,
title = "Blind adaptive equalizer for IIR channels with common zeros",
abstract = "This paper considers the problem of blind adaptive equalization of single-input multiple-output IIR channels without requiring the channel diversity condition. That is, the parallel sub-channels in the fractionally sampled model can have common factors. We develop an equalizer based on IIR prediction of the received signal. The predictor parameters are estimated by using the Recursive Extended Least Squares (RELS) algorithm. It is proved that the adaptive equalizer is globally stable and the prediction error converges in a Cesaro sense almost sure (a.s.)(with probability one) towards a scalar multiple of the input symbol sequence.",
author = "Miloje Radenkovic and Tamal Bose",
year = "2006",
language = "English (US)",
isbn = "0780393902",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
pages = "4195--4198",
booktitle = "ISCAS 2006",
note = "ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems ; Conference date: 21-05-2006 Through 24-05-2006",
}