By Topic

Blind Source Separation by Time Frequency Masking of an Underdetermined System

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)
Acharyya, R. ; Ind. Res. Ltd., Wellington ; Flierl, J.

A blind source separation (BSS) algorithm based on time frequency masking is presented here. The algorithm is suitable for sources that are sparse both in the time and frequency domains. The filtering is performed in two steps. In the first step, the signals are subjected to frequency domain filtering where the frequency compositions of the sources are modeled as a mixture of Gaussians. In the next step, the signal is further filtered in the time domain where certain high energy portions of the signals are removed. The success rate of the algorithm depends on the sparsity of the sources in the time and frequency domains. The algorithm has successfully separated foetal and mother's heartbeat sounds from a mixture. Only one sensor signal was used in the separation process.

Published in:

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Date of Conference:

16-18 May 2008