NDLI: On Joint Source-Channel Coding for a Multivariate Gaussian on a Gaussian MAC

Content Provider	IEEE Xplore Digital Library
Author	Floor, P.A. Kim, A.N. Ramstad, T.A. Balasingham, I. Wernersson, N. Skoglund, M.
Copyright Year	1972
Abstract	In this paper, nonlinear distributed joint source-channel coding (JSCC) schemes for transmission of multivariate Gaussian sources over a Gaussian multiple access channel are proposed and analyzed. The main contribution is a zero-delay JSCC named Distributed Quantizer Linear Coder (DQLC), which performs relatively close the information theoretical bounds, improves when the correlation among the sources increases, and does not level off as the signal-to-noise ratio (SNR) becomes large. Therefore it outperforms any linear solution for sufficiently large SNR. Further an extension of DQLC to an arbitrary code length named Vector Quantizer Linear Coder (VQLC) is analyzed. The VQLC closes in on the performance upper bound as the code length increases and can potentially achieve the bound for any number of independent sources. The VQLC leaves a gap to the bound whenever the sources are correlated, however. JSCC achieving the bound for arbitrary correlation has been found for the bivariate case, but that solution is significantly outperformed by the DQLC/VQLC when there is a low delay constraint. This indicates that different approaches are needed to perform close to the bounds when the code length is high and low. The VQLC/DQLC also apply for bandwidth compression of a multivariate Gaussian transmitted on point-to-point links.
Starting Page	1824
Ending Page	1836
Page Count	13
File Size	1351841
File Format	PDF
ISSN	00906778
Volume Number	63
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Encoding Nonlinear distortion Correlation Vectors Receivers Delays bandwidth compression Joint source-channel coding multivariate Gaussian multiple access channel zero-delay asymptotic analysis
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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