By Topic

Blind identification and equalization of minimum-phase channels

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Senjian An ; Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia ; Yingbo Hua

In this paper, a second order statistics based technique of blind identification and equalization is proposed for minimum phase channels driven by stochastically independent colored signals. Sufficient identifiability conditions are given. Unlike most existing blind identification methods, this method does not require the number of sensors to be greater than the number of source signals. Simulation results are given to demonstrate the performance of the proposed algorithm

Published in:

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Date of Conference: