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Performance analysis of single channel blind source separation

Lookup NU author(s): Bin Gao, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay

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Abstract

Blind source separation is an advanced statistical tool that has found widespread use in many signal processing applications. The main idea to single channel blind source separation is based on exploiting the inherent time structure of sources known as basis filters in time domain that encode the sources in a statistically efficient manner. This paper is focused on the analysis of separation results by exploiting one channel recording of real time speech and music signals.

Publication metadata

Author(s): Gao B, Woo WL, Dlay SS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 7th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA)

Year of Conference: 2008

Pages: 130-135

ISSN: 1790-5117

Publisher: World Scientific and Engineering Academy and Society (WSEAS)

URL: http://portal.acm.org/citation.cfm?id=1416153

Library holdings: Search Newcastle University Library for this item

ISBN: 9789606766442

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