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dc.contributor.advisorWang, Xiaodong
dc.contributor.advisorGeorghiades, Costas N.
dc.creatorSinghal, Rohit
dc.date.accessioned2004-09-30T01:53:36Z
dc.date.available2004-09-30T01:53:36Z
dc.date.created2003-12
dc.date.issued2004-09-30
dc.identifier.urihttps://hdl.handle.net/1969.1/344
dc.description.abstractMultiple-symbol detection of space-time differential codes (MS-STDC) decodes N consecutive space-time symbols using maximum likelihood (ML) sequence detection to gain in performance over the conventional differential detection scheme. However its computational complexity is exponential in N . A fast algorithm for implementing the MD-STDC in block-fading channels with complexity O(N 4) is developed. Its performance in both block-fading and symbol-by-symbol fading channels is demonstrated through simulations. Set partitioning in hierarchical trees (SPIHT) coupled with rate compatible punctured convolution code (RCPC) and cyclic redundancy check (CRC) is employed as a generalized multiple description source coder with robustness to channel errors. We propose a serial concatenation of the above with a differential space-time code (STDC) and invoke an iterative joint source channel decoding procedure for decoding differentially space-time coded multiple descriptions. Experiments show a gain of up to 5 dB in PSNR with four iterations for image transmission in the absence of channel state information (CSI) at the receiver. A serial concatenation of SPIHT + RCPC/CRC is also considered with space-time codes (STC) instead of STDC. Experiments show a gain of up to 7 dB with four iterations in the absence of CSIen
dc.format.extent582663 bytesen
dc.format.extent56832 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectSpace-time codesen
dc.subjectmultiple descriptionsen
dc.subjectjoint source channel decodingen
dc.titleMultiple symbol decoding of differential space-time codesen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentElectrical Engineeringen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberReddy, A. L. N.
dc.contributor.committeeMemberMahapatra, Rabi
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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