Quantization of transmission parameters in stereo linear predictive systems

A. Biswas, A.C. Brinker, den

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
1 Downloads (Pure)

Abstract

Linear prediction (LP) is a widely used technique in single-channel speech coding. LP can also be applied to stereo (or multi-channel) audio coding, but it requires a scheme for quantization and efficient transmission of stereo-LP parameters. We propose to transmit the (forward) normalized reflection matrices together with the zero-lag correlation matrix. Furthermore, we select a parameterization for the matrices and a quantization strategy per parameter. The parameterization for the normalized reflection matrices is a variant of the singular value decomposition (SVD). The proposed quantization scheme is evaluated for first-order stereo-LP systems. As criterion, we use a spectral distortion (SD) measure based on the norm of the transfer matrix of the synthesis filter. Simulations show that the distortions can easily be controlled as a function of bit rate
Original languageEnglish
Title of host publicationProceedings of the 2006 Data Compression Conference (DCC), Snowbird, UT
EditorsJ.A. Storer, M. Cohn
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages262-271
ISBN (Print)0-7695-2545-8
DOIs
Publication statusPublished - 2006
Eventconference; IEEE Data Compression Conference, Snowbird, Utha, USA; 2006-03-28; 2006-03-30 -
Duration: 28 Mar 200630 Mar 2006

Conference

Conferenceconference; IEEE Data Compression Conference, Snowbird, Utha, USA; 2006-03-28; 2006-03-30
Period28/03/0630/03/06
OtherIEEE Data Compression Conference, Snowbird, Utha, USA

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  • Cite this

    Biswas, A., & Brinker, den, A. C. (2006). Quantization of transmission parameters in stereo linear predictive systems. In J. A. Storer, & M. Cohn (Eds.), Proceedings of the 2006 Data Compression Conference (DCC), Snowbird, UT (pp. 262-271). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DCC.2006.67