By Topic

Backward-Forward Combined Convolutive Blind Source Separation

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

4 Author(s)
Xiaoyue Jiang ; Dept. of Electron. & Inf., Vrije Univ. Brussel, Brussels ; Hichem Sahli ; Werner Verhelst ; Yanning Zhang

Many blind source separation algorithms only try to find the estimation of original signals and the de-mixing system. However, finding the mixing system is also an important task, which is a representation for the recording environment. Direct inversing the mixing system will introduce many noises. We proposed a correlation based backward-forward combined algorithm to do blind source separation. In the proposed algorithm, an alternative optimization strategy is applied. The estimation of mixing/de-mixing system is used as an initial guess to optimize the de-mixing/mixing system iteratively. This alternative optimization algorithm can obtain better estimation for mixing and de-mixing system at the same time. In addition, it can reduce the chance to be tracked into a local minimal. As a result, we can get a better estimation for the sources. Good experimental results were obtained on both simulated and real signals.

Published in:

2008 Eighth International Conference on Intelligent Systems Design and Applications  (Volume:3 )

Date of Conference:

26-28 Nov. 2008