Analysis of Conditional PDF-Based Split VQ

The split vector quantization (SVQ) method results in a ldquocoding lossrdquo due to the independent quantization of split subvectors. To recover the coding loss, conditional pdf-based split vector quantization methods were proposed recently. For a multivariate Gaussian source, we theoretically deri...

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Published in:IEEE signal processing letters 2007-11, Vol.14 (11), p.781-784
Main Authors: Chatterjee, S., Sreenivas, T.V.
Format: Article
Language:English
Subjects:
Allocations
Bit rate
Coding
Conditional pdf
Costs
Decoding
Gain
Gaussian
high rate quantization
Loss measurement
multivariate Gaussian
Optimization
Performance gain
Product codes
Quantization
Rate-distortion
Signal processing
Source coding
Speech coding
split vector quantization
SRA - ICT
SRA - Informations- och kommunikationsteknik
Vector quantization
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creator Chatterjee, S.
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description The split vector quantization (SVQ) method results in a ldquocoding lossrdquo due to the independent quantization of split subvectors. To recover the coding loss, conditional pdf-based split vector quantization methods were proposed recently. For a multivariate Gaussian source, we theoretically derive the expression of rate-distortion (R/D) performance for conditional pdf-based split vector quantization (CSVQ) method, using high rate quantization theory and optimum bit allocation. We also derive the rate-distortion performance expression of traditional SVQ method and, thus, quantify the coding gain of CSVQ method over SVQ method.
doi_str_mv 10.1109/LSP.2007.901685
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(IEEE) 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c461t-e78fd624000b0b0cc604f67d0a7abb317c47e43cde16537dc9eebe82e7927dc63</citedby><cites>FETCH-LOGICAL-c461t-e78fd624000b0b0cc604f67d0a7abb317c47e43cde16537dc9eebe82e7927dc63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4351940$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,54796</link.rule.ids><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-46523$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Chatterjee, S.</creatorcontrib><creatorcontrib>Sreenivas, T.V.</creatorcontrib><title>Analysis of Conditional PDF-Based Split VQ</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>The split vector quantization (SVQ) method results in a ldquocoding lossrdquo due to the independent quantization of split subvectors. 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To recover the coding loss, conditional pdf-based split vector quantization methods were proposed recently. For a multivariate Gaussian source, we theoretically derive the expression of rate-distortion (R/D) performance for conditional pdf-based split vector quantization (CSVQ) method, using high rate quantization theory and optimum bit allocation. We also derive the rate-distortion performance expression of traditional SVQ method and, thus, quantify the coding gain of CSVQ method over SVQ method.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LSP.2007.901685</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
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1558-2361
1558-2361
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source IEEE Electronic Library (IEL) Journals
subjects Allocations
Bit rate
Coding
Conditional pdf
Costs
Decoding
Gain
Gaussian
high rate quantization
Loss measurement
multivariate Gaussian
Optimization
Performance gain
Product codes
Quantization
Rate-distortion
Signal processing
Source coding
Speech coding
split vector quantization
SRA - ICT
SRA - Informations- och kommunikationsteknik
Vector quantization
title Analysis of Conditional PDF-Based Split VQ
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