Quantization of transmission parameters in stereo linear predictive systems

A. Biswas; A.C. Brinker, den

doi:10.1109/DCC.2006.67

Quantization of transmission parameters in stereo linear predictive systems

A. Biswas, A.C. Brinker, den

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings of the 2006 Data Compression Conference (DCC), Snowbird, UT
Editors	J.A. Storer, M. Cohn
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	262-271
ISBN (Print)	0-7695-2545-8
DOIs	https://doi.org/10.1109/DCC.2006.67
Publication status	Published - 2006
Event	conference; IEEE Data Compression Conference, Snowbird, Utha, USA; 2006-03-28; 2006-03-30 - Duration: 28 Mar 2006 → 30 Mar 2006

Conference

Conference	conference; IEEE Data Compression Conference, Snowbird, Utha, USA; 2006-03-28; 2006-03-30
Period	28/03/06 → 30/03/06
Other	IEEE Data Compression Conference, Snowbird, Utha, USA

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10.1109/DCC.2006.67

Cite this

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title = "Quantization of transmission parameters in stereo linear predictive systems",

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",

author = "A. Biswas and {Brinker, den}, A.C.",

year = "2006",

doi = "10.1109/DCC.2006.67",

language = "English",

isbn = "0-7695-2545-8",

pages = "262--271",

editor = "J.A. Storer and M. Cohn",

booktitle = "Proceedings of the 2006 Data Compression Conference (DCC), Snowbird, UT",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "conference; IEEE Data Compression Conference, Snowbird, Utha, USA; 2006-03-28; 2006-03-30 ; Conference date: 28-03-2006 Through 30-03-2006",

}

Biswas, A & Brinker, den, AC 2006, Quantization of transmission parameters in stereo linear predictive systems. in JA Storer & M Cohn (eds), Proceedings of the 2006 Data Compression Conference (DCC), Snowbird, UT. Institute of Electrical and Electronics Engineers, Piscataway, pp. 262-271, conference; IEEE Data Compression Conference, Snowbird, Utha, USA; 2006-03-28; 2006-03-30, 28/03/06. https://doi.org/10.1109/DCC.2006.67

Quantization of transmission parameters in stereo linear predictive systems. / Biswas, A.; Brinker, den, A.C.
Proceedings of the 2006 Data Compression Conference (DCC), Snowbird, UT. ed. / J.A. Storer; M. Cohn. Piscataway: Institute of Electrical and Electronics Engineers, 2006. p. 262-271.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Quantization of transmission parameters in stereo linear predictive systems

AU - Biswas, A.

AU - Brinker, den, A.C.

PY - 2006

Y1 - 2006

N2 - 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

AB - 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

U2 - 10.1109/DCC.2006.67

DO - 10.1109/DCC.2006.67

M3 - Conference contribution

SN - 0-7695-2545-8

SP - 262

EP - 271

BT - Proceedings of the 2006 Data Compression Conference (DCC), Snowbird, UT

A2 - Storer, J.A.

A2 - Cohn, M.

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - conference; IEEE Data Compression Conference, Snowbird, Utha, USA; 2006-03-28; 2006-03-30

Y2 - 28 March 2006 through 30 March 2006

ER -

Quantization of transmission parameters in stereo linear predictive systems

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