An Asymmetric Difference Multiple Description Gaussian Noise Channel

Jan Oøstergaard; Yuval Kochman; Ram Zamir

doi:10.1109/DCC.2017.16

An Asymmetric Difference Multiple Description Gaussian Noise Channel

Jan Oøstergaard, Yuval Kochman, Ram Zamir

The Rachel and Selim Benin School of Engineering and Computer Science

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

2 Scopus citations

Abstract

Ozarow's test channel for the quadratic Gaussian (QG) multiple description (MD) problem consists of two correlated AWGN channels. It is known that simply replacing the AWGN channels by quantizers with equivalent statistical properties as the channels, will generally not lead to a rate-distortion optimal realization of the MD rate-distortion function. We have previously proposed a symmetric two-channel model for the QG MD problem for the case, where the two noise terms have equal variances. We show in this paper, that by replacing the AWGN channels of this model by quantizers that are statistical equivalent to the channels, will under high-resolution assumption be rate-distortion optimal. We furthermore extend this symmetric two-channel model to the asymmetric case, and provide a simple suboptimal implementation of the channel based on scalar quantizers. Simulations are provided to show the performance of the proposed implementation.

Original language	English
Title of host publication	Proceedings - DCC 2017, 2017 Data Compression Conference
Editors	Ali Bilgin, Joan Serra-Sagrista, Michael W. Marcellin, James A. Storer
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	360-369
Number of pages	10
ISBN (Electronic)	9781509067213
DOIs	https://doi.org/10.1109/DCC.2017.16
State	Published - 8 May 2017
Event	2017 Data Compression Conference, DCC 2017 - Snowbird, United States Duration: 4 Apr 2017 → 7 Apr 2017

Publication series

Name	Data Compression Conference Proceedings
Volume	Part F127767
ISSN (Print)	1068-0314

Conference

Conference	2017 Data Compression Conference, DCC 2017
Country/Territory	United States
City	Snowbird
Period	4/04/17 → 7/04/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Gaussian noise channels
Multiple descriptions
quantization
test channels

Access to Document

10.1109/DCC.2017.16

Cite this

Oøstergaard, J., Kochman, Y., & Zamir, R. (2017). An Asymmetric Difference Multiple Description Gaussian Noise Channel. In A. Bilgin, J. Serra-Sagrista, M. W. Marcellin, & J. A. Storer (Eds.), Proceedings - DCC 2017, 2017 Data Compression Conference (pp. 360-369). Article 7923709 (Data Compression Conference Proceedings; Vol. Part F127767). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCC.2017.16

Oøstergaard, Jan ; Kochman, Yuval ; Zamir, Ram. / An Asymmetric Difference Multiple Description Gaussian Noise Channel. Proceedings - DCC 2017, 2017 Data Compression Conference. editor / Ali Bilgin ; Joan Serra-Sagrista ; Michael W. Marcellin ; James A. Storer. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 360-369 (Data Compression Conference Proceedings).

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abstract = "Ozarow's test channel for the quadratic Gaussian (QG) multiple description (MD) problem consists of two correlated AWGN channels. It is known that simply replacing the AWGN channels by quantizers with equivalent statistical properties as the channels, will generally not lead to a rate-distortion optimal realization of the MD rate-distortion function. We have previously proposed a symmetric two-channel model for the QG MD problem for the case, where the two noise terms have equal variances. We show in this paper, that by replacing the AWGN channels of this model by quantizers that are statistical equivalent to the channels, will under high-resolution assumption be rate-distortion optimal. We furthermore extend this symmetric two-channel model to the asymmetric case, and provide a simple suboptimal implementation of the channel based on scalar quantizers. Simulations are provided to show the performance of the proposed implementation.",

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Oøstergaard, J, Kochman, Y & Zamir, R 2017, An Asymmetric Difference Multiple Description Gaussian Noise Channel. in A Bilgin, J Serra-Sagrista, MW Marcellin & JA Storer (eds), Proceedings - DCC 2017, 2017 Data Compression Conference., 7923709, Data Compression Conference Proceedings, vol. Part F127767, Institute of Electrical and Electronics Engineers Inc., pp. 360-369, 2017 Data Compression Conference, DCC 2017, Snowbird, United States, 4/04/17. https://doi.org/10.1109/DCC.2017.16

An Asymmetric Difference Multiple Description Gaussian Noise Channel. / Oøstergaard, Jan; Kochman, Yuval; Zamir, Ram.
Proceedings - DCC 2017, 2017 Data Compression Conference. ed. / Ali Bilgin; Joan Serra-Sagrista; Michael W. Marcellin; James A. Storer. Institute of Electrical and Electronics Engineers Inc., 2017. p. 360-369 7923709 (Data Compression Conference Proceedings; Vol. Part F127767).

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

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Oøstergaard J, Kochman Y, Zamir R. An Asymmetric Difference Multiple Description Gaussian Noise Channel. In Bilgin A, Serra-Sagrista J, Marcellin MW, Storer JA, editors, Proceedings - DCC 2017, 2017 Data Compression Conference. Institute of Electrical and Electronics Engineers Inc. 2017. p. 360-369. 7923709. (Data Compression Conference Proceedings). doi: 10.1109/DCC.2017.16

An Asymmetric Difference Multiple Description Gaussian Noise Channel

Abstract

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Bibliographical note

Keywords

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