Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.501874
Title: Nonlinear non-Gaussian algorithms for signal and image processing
Author: Morison, Gordon
Awarding Body: The University of Strathclyde
Current Institution: University of Strathclyde
Date of Award: 2007
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Abstract:
Tills thesis is initially concerned with solving the Blind Source Separation (BSS) problem. The BSS problem has been found to occur frequently in problems existing in various Scientific and Engineering application areas. The basic idea of the BSS problem is to separate a collection of mixed data into its underlying information components. To tackle the BSS problem two related methodologies have been utilized extensively throughout the literature. The first approach is by utilizing the statistical technique Independent Component Analysis (ICA). This method utilizes a transformation that maximizes the statistical independence of the mixed data components.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.501874  DOI: Not available
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