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Title:Source and Channel Coding of Images for Noisy Channels
Author(s):Sherwood, Phillip Gregory
Doctoral Committee Chair(s):Kenneth Zeger
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
Abstract:Finally, methods for introducing an adjustable amount of source redundancy are explored in the context of erasure channels. The erasure channel can be considered an abstraction of an arbitrary physical channel as long as reliable error detection is possible, so the methods are broadly applicable. A multistage coding structure is proposed which offers much flexibility, even in terms of the underlying compression algorithms, as well as low complexity. Extensions of multiple description scalar quantizers in combination with erasure correcting codes are proposed as another method.
Issue Date:2000
Description:131 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000.
Other Identifier(s):(MiAaPQ)AAI9971189
Date Available in IDEALS:2015-09-25
Date Deposited:2000

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