Combined source channel decoding for image transmission over fading channels

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Combined source channel decoding for image transmission over fading channels

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dc.contributor.author Chebil, J
dc.contributor.author Boashash, B
dc.contributor.author Deriche, M
dc.date.accessioned 2012-01-03T06:43:14Z
dc.date.available 2012-01-03T06:43:14Z
dc.date.issued 2003-09
dc.identifier.citation The 9th Asia-Pacific Conference on Communications, 2003. APCC 2003. Issue Date: 21-24 Sept. 2003 On page(s): 297 - 301 Vol.1 en_US
dc.identifier.isbn 0-7803-8114-9
dc.identifier.uri http://hdl.handle.net/10576/10769
dc.description This paper presents the design of a joint source channel decoder using the sequence maximum a posteriori method, which is one of the residual redundancy techniques. The paper applies hidden Markov models to estimate the parameters of the Gilbert-Elliott channel model. A modified Baum-Welch algorithm is proposed where the estimation obtained from the direct method is taken as the initial estimates of the Baum-Welch algorithm, reducing time significantly. Details about non-stationary systems and signals can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). en_US
dc.description.abstract Previous studies highlighted the importance of using residual redundancy techniques in the design of a joint source channel decoder for the case of data transmission over binary symmetrical channel. This paper uses the sequence maximum a posteriori (MAP) method, which is one of the residual redundancy techniques to design a joint source channel coding with the representation of the wireless communication channel by the Gilbert-Elliott channel (GEC). The paper also discusses the issue of parameters estimation for the GEC channel. A new modification is suggested to the Baum-Welch re-estimation technique in order to improve its performance and reduces its computational requirements. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject channel estimation en_US
dc.subject combined source-channel coding en_US
dc.subject fading channels en_US
dc.subject image coding en_US
dc.subject maximum likelihood estimation en_US
dc.subject mobile communication en_US
dc.subject visual communication en_US
dc.subject Baum-Welch re-estimation technique en_US
dc.subject Gilbert-Elliott channel en_US
dc.subject channel estimation en_US
dc.subject data transmission en_US
dc.subject fading channels en_US
dc.subject image transmission en_US
dc.subject joint source channel decoding en_US
dc.subject sequence maximum a posteriori method en_US
dc.subject wireless communication channel en_US
dc.title Combined source channel decoding for image transmission over fading channels en_US
dc.type Article en_US

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