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http://hdl.handle.net/11375/22290
Title: | Blind Deconvolution Based on Constrained Marginalized Particle Filters |
Authors: | Maryan, Krzysztof S. |
Advisor: | Reilly, J. |
Department: | Electrical and Computer Engineering |
Keywords: | blind deconvolution, constrained, marginalized, particle filters, robustness |
Publication Date: | Sep-2008 |
Abstract: | This thesis presents a new approach to blind deconvolution algorithms. The proposed method is a combination of a classical blind deconvolution subspace method and a marginalized particle filter. It is shown that the new method provides better performance than just a marginalized particle filter, and better robustness than the classical subspace method. The properties of the new method make it a candidate for further exploration of its potential application in acoustic blind dereverberation. |
URI: | http://hdl.handle.net/11375/22290 |
Appears in Collections: | Digitized Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Maryan_Krzysztof_S._2008Sept_Masters..pdf | 6.7 MB | Adobe PDF | View/Open |
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