Cart (Loading....) | Create Account
Close category search window
 

On the effectiveness of the ICA-based signal representation in non-Gaussian noise

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

3 Author(s)
Xin Zou ; Electron., Electr. & Comput. Eng., Univ. of Birmingham, Birmingham ; Jancovic, P. ; Kokuer, M.

This paper presents a mathematical analysis demonstrating the effectiveness of the signal representation based on independent component analysis (ICA) in the case of non-Gaussian noise corruption. The analysis is based on calculating a mismatch between the distribution of the observed signal represented by a linear model and a reference distribution. The theoretical results lead to a novel ICA-based signal representation technique in which the ICA transformation matrix is estimated based on noise-corrupted signal but not based on clean signal as normal. Our theoretical findings are experimentally demonstrated by employing the proposed feature representation in a GMM-based speaker recognition system. Experimental results show that employment of the proposed ICA-based features can provide significant recognition accuracy improvements over using both the traditional ICA-based features and MFCC features.

Published in:

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Date of Conference:

26-29 Oct. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.