Coding of speech and image signals using Gabor decomposition

buir.advisor	Çetin, A. Enis
dc.contributor.author	Gündüzhan, Emre
dc.date.accessioned	2016-01-08T20:11:48Z
dc.date.available	2016-01-08T20:11:48Z
dc.date.issued	1994
dc.description	Cataloged from PDF version of article.	en_US
dc.description	Includes bibliographical references leaves 27-28.	en_US
dc.description.abstract	A new low bit rate speech coding method which uses Gabor time-frequency decomposition and the matching pursuit algorithm is developed. A new algorithm based on the projections onto convex sets method is used to smooth the discontinuities between speech frames. A two-dimensional extension of the Gabor time-frequency decomposition is also developed for image coding. Simulation examples are presented.	en_US
dc.description.statementofresponsibility	Gündüzhan, Emre	en_US
dc.format.extent	viii, 28 leaves, illustrations	en_US
dc.identifier.uri	http://hdl.handle.net/11693/17606
dc.language.iso	English	en_US
dc.rights	info:eu-repo/semantics/openAccess	en_US
dc.subject	Speech coding	en_US
dc.subject	İmage coding	en_US
dc.subject	Time-frequency dictionaries	en_US
dc.subject	Matching pursuit algorithm	en_US
dc.subject.lcc	TK7882.S65 G86 1994	en_US
dc.subject.lcsh	Speech processing systems.	en_US
dc.title	Coding of speech and image signals using Gabor decomposition	en_US
dc.type	Thesis	en_US
thesis.degree.discipline	Electrical and Electronic Engineering
thesis.degree.grantor	Bilkent University
thesis.degree.level	Master's
thesis.degree.name	MS (Master of Science)

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