By Topic

Unbiased blind separation using the threshold nonlinearity

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
$31 $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)
Mathis, Heinz ; Signal & Inf. Process. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland ; Joho, M.

The stability analysis of blind signal separation algorithms using the threshold nonlinearity is extended to discrete distributions, such as used in digital communication systems. Conditions for the threshold parameter are derived. An extension to the standard algorithm mitigates separation coefficient bias, which is introduced by additive noise at the sensors. Simulations quantify the improvement in terms of steady-state interchannel interference

Published in:

Wireless Communications, 2001. (SPAWC '01). 2001 IEEE Third Workshop on Signal Processing Advances in

Date of Conference:

2001