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http://hdl.handle.net/11375/22290
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Reilly, J. | - |
dc.contributor.author | Maryan, Krzysztof S. | - |
dc.date.accessioned | 2017-10-23T20:11:06Z | - |
dc.date.available | 2017-10-23T20:11:06Z | - |
dc.date.issued | 2008-09 | - |
dc.identifier.uri | http://hdl.handle.net/11375/22290 | - |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | blind deconvolution, constrained, marginalized, particle filters, robustness | en_US |
dc.title | Blind Deconvolution Based on Constrained Marginalized Particle Filters | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Electrical and Computer Engineering | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Applied Science (MASc) | en_US |
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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