Title :
Blind source separation/channel equalization of nonlinear channels with binary inputs
Author :
Bai, Er-Wei ; Li, Qingyu ; Zhang, Zhiyong
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
fDate :
7/1/2005 12:00:00 AM
Abstract :
In this paper, we consider blind source separation/channel equalization problems for an unknown nonlinear channel. By using the property of the binary alphabets, we show that blind nonlinear source separation/channel equalization problems can be easily solved by existing linear methods.
Keywords :
blind equalisers; blind source separation; telecommunication channels; binary alphabet; binary input; blind source separation; channel equalization; nonlinear channel; Blind equalizers; Blind source separation; Cities and towns; Data communication; Helium; Higher order statistics; Kernel; Polynomials; Signal processing algorithms; Source separation; Blind channel equalization; blind source separation; nonlinear channel;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.849158
