Enhancement of the ill-conditioned original recordings using novel ICA technique

Naik, GR

Enhancement of the ill-conditioned original recordings using novel ICA technique

Naik, GR

Permalink

Publication Type:: Journal Article
Citation:: International Journal of Electronics, 2012, 99 (7), pp. 899 - 906
Issue Date:: 2012-01-01

Closed Access

	Filename	Description	Size
	2012002489OK.pdf		200.4 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Naik, GR https://orcid.org/0000-0003-1790-9838	en_US
dc.date.issued	2012-01-01	en_US
dc.identifier.citation	International Journal of Electronics, 2012, 99 (7), pp. 899 - 906	en_US
dc.identifier.issn	0020-7217	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27570
dc.description.abstract	© 2012 Taylor & Francis. The independent component analysis (ICA) method proposed in this study uses FastICA algorithm to improve the quality of the original recordings, which can be used as valuable pre-processing technique in signal processing methods. Initially, the ill-conditioned original audio recordings are separated using ICA methods and later, they are reconstructed using modified un-mixing matrix. The simulation results showed huge improvement of the original signal after reconstruction. The new method is found to be good because the accuracy is more compared to others in terms of the variance of the Gain matrix. The proposed method has potential applications in audio and biosignal processing techniques.	en_US
dc.relation.ispartof	International Journal of Electronics	en_US
dc.relation.isbasedon	10.1080/00207217.2011.609971	en_US
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	Enhancement of the ill-conditioned original recordings using novel ICA technique	en_US
dc.type	Journal Article
utslib.citation.volume	7	en_US
utslib.citation.volume	99	en_US
utslib.for	090609 Signal Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	7	en_US
pubs.publication-status	Published	en_US
pubs.volume	99	en_US

Abstract:

© 2012 Taylor & Francis. The independent component analysis (ICA) method proposed in this study uses FastICA algorithm to improve the quality of the original recordings, which can be used as valuable pre-processing technique in signal processing methods. Initially, the ill-conditioned original audio recordings are separated using ICA methods and later, they are reconstructed using modified un-mixing matrix. The simulation results showed huge improvement of the original signal after reconstruction. The new method is found to be good because the accuracy is more compared to others in terms of the variance of the Gain matrix. The proposed method has potential applications in audio and biosignal processing techniques.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/27570