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Multiple descriptio...
Multiple description coding based on Gaussian mixture models
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- Samuelsson, Jonas (författare)
- KTH,Ljud- och bildbehandling,KTH Center för Trådlösa System, Wireless@kth
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- Plasberg, Jan H. (författare)
- KTH,Ljud- och bildbehandling,KTH Center för Trådlösa System, Wireless@kth
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(creator_code:org_t)
- 2005
- 2005
- Engelska.
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Ingår i: IEEE Signal Processing Letters. - 1070-9908 .- 1558-2361. ; 12:6, s. 449-452
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- An algorithm for multiple description coding (MDC) based on Gaussian mixture models (GMMs) is presented. Based on the parameters of the GMM, the algorithm combines MDC scalar quantizers, yielding a source-optimized vector MDC system. The performance is evaluated on a speech spectrum source in terms of mean-squared error and log spectral distortion. It is demonstrated experimentally that the proposed system outperforms single description coding and repetition coding over a wide range of channel failure probabilities. The proposed algorithm has a complexity that is linear in rate and dimension while retaining a near optimal vector quantizer point density.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Gaussian mixture models (GMMs)
- joint source-channel coding
- multiple description coding (MDC)
- quantization
- Signal processing
- Signalbehandling
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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