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%20%20%20%20Mixed%20Audio%20Signal%20Separation%20Using%20Independent%20Component%20Analysis
Research article
  

Mixed Audio Signal Separation Using Independent Component Analysis


Folorunso O

Electrical/Electronic Department, University of Benin, Nigeria.


Corresponding author :

Folorunso O,
Email:

Received: September 11, 2014,   Accepted: October 7, 2014,   Published: October 8, 2014.


Abstract:

Blind Source Separation (BSS) is a statistical approach to separating individual signals from an observed mixture of a group of signals, which relies on little assumptions of the signals and the mixing processes or media. This paper covers the general overview of Independent Component Analysis (ICA), an algorithm for achieving BSS techniques with application to real life activities. The ICA algorithm developed using MATLAB 2012, was used to separate mixture of audio signals recorded and it proved effective.


Keywords: Blind Source Signals, Independent analysis.


Citation:

Folorunso O. (2014). Mixed Audio Signal Separation Using Independent Component Analysis. J. of Computation in Biosciences and Engineering. V2I1. DOI: 10.15297/JCLS.V2I1.2


Copyright:

© 2014 Folorunso O. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


      
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      Journal of Computation in Biosciences and Engineering