TY - GEN
T1 - An Asymmetric Difference Multiple Description Gaussian Noise Channel
AU - Oøstergaard, Jan
AU - Kochman, Yuval
AU - Zamir, Ram
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/8
Y1 - 2017/5/8
N2 - 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.
AB - 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.
KW - Gaussian noise channels
KW - Multiple descriptions
KW - quantization
KW - test channels
UR - http://www.scopus.com/inward/record.url?scp=85019988628&partnerID=8YFLogxK
U2 - 10.1109/DCC.2017.16
DO - 10.1109/DCC.2017.16
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AN - SCOPUS:85019988628
T3 - Data Compression Conference Proceedings
SP - 360
EP - 369
BT - Proceedings - DCC 2017, 2017 Data Compression Conference
A2 - Bilgin, Ali
A2 - Serra-Sagrista, Joan
A2 - Marcellin, Michael W.
A2 - Storer, James A.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Data Compression Conference, DCC 2017
Y2 - 4 April 2017 through 7 April 2017
ER -