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EXIT-Chart-Aided Joint source coding, Channel coding, and Modulation Design for Two-Way Relaying

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2013年第6期62卷 2496-2506页

作者： Aljohani, Abdulah Jeza Ng, Soon Xin Maunder, Robert G. Hanzo, Lajos Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

In this paper, we have proposed and investigated an attractive joint source coding, channel coding, and modulation (JSCM) scheme for a two-way relaying system. We commence by quantifying the achievable capacity of the corresponding two-way relay channel before proposing low-complexity source coding schemes for concatenation with bandwidth-and power-efficient coded modulation schemes. Extrinsic information transfer (EXIT) charts are used to investigate the decoding convergence of the joint source and channel decoder and for the overall system design. The quality of the decoded source signals is quantified using the bit error ratio (BER) metric. It is found that the two-way-relay-based JSCM scheme is capable of attaining a combined coding and relaying gain of 5.7 dB over the conventional noncooperative JSCM scheme when communicating over uncorrelated Rayleigh fading channels in an outdoor environment.

关键词： Channel coding iterative decoding power sharing (PS) source coding turbo trellis-coded modulation (TTCM) two-way relay

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Gamma rate theory for causal rate control in source coding and video coding

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JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2014年第8期25卷 1886-1893页

作者： Xu, Jun Wu, Dapeng Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA

The rate distortion function in information theory provides performance bounds for lossy source coding. However, it is not clear how to causally encode a Gaussian sequence under rate constraints while achieving R-D optimality. This problem has significant implications in the design of rate control for video communication. To address this problem, we take distortion fluctuation into account and develop a new theory, called gamma rate theory, to quantify the trade-off between rate and distortion fluctuation. The gamma rate theory implies that, to evaluate the performance of causal rate controls in source coding, the traditional R-D metric needs to be replaced by a new GRD metric. The gamma rate theory identifies the trade-off between quality fluctuation and bandwidth, which is not known previously. To validate the gamma rate theory, we design a rate control algorithm for video coding;our experimental results demonstrate the utility of the gamma rate theory in video coding. (C) 2014 Elsevier Inc. All rights reserved.

关键词： Causal rate control Rate distortion function source coding Video coding Gamma rate function Rate gamma function Viewer friendliness Network friendliness

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The Price of Uncertain Priors in source coding

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IEEE TRANSACTIONS ON INFORMATION THEORY 2019年第2期65卷 1165-1171页

作者： Braverman, Mark Juba, Brendan Princeton Univ Dept Comp Sci Princeton NJ 08540 USA Harvard Univ Sch Engn & Appl Sci Cambridge MA 02138 USA Washington Univ St Louis Dept Comp Sci & Engn St Louis MO 63130 USA

We consider the problem of one-way communication when the recipient does not know exactly the distribution that the messages are drawn from, but has a "prior" distribution that is known to be close to the source distribution, a problem first considered by Juba et al. We consider the question of how much longer the messages need to be in order to cope with the uncertainty about the receiver's prior and the source distribution, respectively, as compared with the standard source coding problem. We consider two variants of this uncertain priors problem: the original setting of Juba et al. in which the receiver is required to correctly recover the message with probability 1, and a setting introduced by Haramaty and Sudan, in which the receiver is permitted to fail with some probability epsilon. In both settings, we obtain lower bounds that are tight up to logarithmically smaller terms. In the latter setting, we furthermore present a variant of the coding scheme of Juba et al. with an overhead of log alpha + log 1/epsilon + 1 bits, thus also establishing the nearly tight upper bound.

关键词： source coding uncertain priors distributed adaptive compression

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Hybrid transmission, compression and data hiding: quantisation index modulation as source coding strategy

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ELECTRONICS LETTERS 2004年第17期40卷 1053-1055页

作者： Guillemot, L Moureaux, JM Univ Nancy 1 CRAN CNRS UMR 7039 F-54506 Vandoeuvre Les Nancy France

A new hybrid compression and data hiding scheme based on quantisation index modulation and lattice vector quantisation is presented. The design of an appropriate vector dead zone and an adapted indexing technique makes this hybrid quantisation strategy very efficient, particularly in the field of image compression using wavelet transform.

关键词： modulation vector quantisation source coding quantisation index modulation data hiding wavelet transforms lattice vector quantisation image compression hybrid transmission hybrid compression image coding vector dead zone data encapsulation wavelet transform

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source coding with Unreliable Side Information in the Finite Blocklength Regime

Source Coding with Unreliable Side Information in the Finite...

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IEEE International Symposium on Information Theory (ISIT)

作者： Sun, Siming Effros, Michelle CALTECH Dept Elect Engn Pasadena CA 91125 USA

ISBN: (纸本)9781665421607;9781665421591

This paper studies a special case of the problem of source coding with side information. A single transmitter describes a source to a receiver that has access to a side information observation that is unavailable at the transmitter. While the source and true side information sequences are dependent, stationary, memoryless random processes, the side information observation at the decoder is unreliable, which here means that it may or may not equal the intended side information and therefore may or may not be useful for decoding the source description. The probability of side information observation failure, caused, for example, by a faulty sensor or source decoding error, is non-vanishing but is bounded by a fixed constant independent of the blocklength. This paper proposes a coding system that uses unreliable side information to get efficient source representation subject to a fixed error probability bound. Results include achievability and converse bounds under two different models of the joint distribution of the source, the intended side information, and the side information observation.

关键词： Codes Interference cancellation Error probability Transmitters source coding Receivers Decoding

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source coding with intermittent and degraded side information at the decoder

Source coding with intermittent and degraded side informatio...

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33rd IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Bassi, Francesca Kieffer, Michel Weidmann, Claudio Univ Paris Sud CNRS SUPELEC LSS F-91192 Gif Sur Yvette France Telecommun Res Ctr A-1220 Vienna Austria

ISBN: (纸本)9781424414833

Practical schemes for distributed video coding with side information at the decoder need to consider non-standard correlation models in order to take non-stationarities into account. In this paper we introduce two correlation models for Gaussian sources, the Gaussian-Bertroulli-Gaussian (GBG) and the Gaussian-Erasure (GE) models, and evaluate lower and upper bounds on their rate-distortion functions. Provided that the probability of impulse noise or of erasures remains small, these bounds remain close to the rate-distortion function for Gaussian correlation. Two practical schemes for the GE correlation model are also presented, with performance about 1.5 dB away from the lower bound.

关键词： source coding rate-distortion theory Wyner-Ziv coding

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Asymptotically Optimal Decision Rules for Joint Detection and source coding

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IEEE TRANSACTIONS ON INFORMATION THEORY 2014年第11期60卷 6787-6795页

作者： Merhav, Neri Technion Israel Inst Technol Dept Elect Engn IL-32000 Haifa Israel

The problem of joint detection and lossless source coding is considered. We derive asymptotically optimal decision rules for deciding whether or not a sequence of observations has emerged from a desired information source, and to compress it if has. In particular, our decision rules asymptotically minimize the cost of compression in the case that the data have been classified as desirable, subject to given constraints on the two kinds of the probability of error. In another version of this performance criterion, the constraint on the false alarm probability is replaced by a constraint on the cost of compression in the false alarm event. We then analyze the asymptotic performance of these decision rules. We also derive universal decision rules for the case where the underlying sources (under either hypothesis or both) are unknown, and training sequences from each source may or may not be available. Finally, we discuss how our framework can be extended in several directions.

关键词： Error exponent hypothesis testing false alarm misdetection source coding universal schemes

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Generalized Gaussian Multiterminal source coding in the High-Resolution Regime

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IEEE TRANSACTIONS ON COMMUNICATIONS 2020年第6期68卷 3782-3791页

作者： Xie, Li Tu, Xiaolan Zhou, Siyao Chen, Jun Shanghai Acad Spaceflight Technol Inst Aerosp Syst Engn Shanghai Shanghai 201109 Peoples R China McMaster Univ Dept Math & Stat Hamilton ON L8S 4K1 Canada Canadian Imperial Bank Commerce Toronto ON M5H 3S5 Canada McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada

A conjectural expression of the asymptotic gap between the rate-distortion function of an arbitrary generalized Gaussian multiterminal source coding system and that of its centralized counterpart in the high-resolutio... 详细信息

关键词： source coding Rate-distortion 3G mobile communication Distortion Sensor fusion Gaussian source information matrix mean squared error multiterminal source coding rate-distortion

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On source coding for Distributed Temperature Sensing with Shift-Invariant Geometries

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IEEE TRANSACTIONS ON COMMUNICATIONS 2011年第4期59卷 1053-1065页

作者： Beferull-Lozano, Baltasar Konsbruck, Robert L. Univ Valencia Sch Engn Grp Informat & Commun Syst GSIC Inst Robot & Informat & Commun Technol IRTIC Paterna 46980 Valencia Spain Ecole Polytech Fed Lausanne EPFL Sch Comp & Commun Sci I&C CH-1015 Lausanne Switzerland

We study the source coding problem in sensor networks deployed to monitor the evolution of spatio-temporal temperature distributions. The sensors sample the temperature field, quantize the samples and transmit the encoded samples through digital channels to some central unit, which computes an estimate of the original temperature field. Our analysis is based on the heat kernel's spectral properties, which are induced by the physics of heat diffusion. We determine rate distortion functions for various source coding schemes. In particular, we compare centralized coding, independent coding, Berger-Tung coding, and predictive quantization.

关键词： Sensor networks source coding rate distortion functions heat equation temperature fields

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Improved source coding Exponents via Witsenhausen's Rate

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IEEE TRANSACTIONS ON INFORMATION THEORY 2011年第9期57卷 5615-5633页

作者： Kelly, Benjamin G. Wagner, Aaron B. Cornell Univ Sch Elect & Comp Engn Ithaca NY 14853 USA

We provide a novel upper-bound on Witsenhausen's rate, the rate required in the zero-error analogue of the Slepian-Wolf problem. Our bound is given in terms of a new information-theoretic functional defined on a certain graph and is derived by upper bounding complementary graph entropy. We use the functional, along with graph entropy, to give a single letter lower-bound on the error exponent for the Slepian-Wolf problem under the vanishing error probability criterion, where the decoder has full (i.e., unencoded) side information. We demonstrate that our error exponent can beat the "expurgated" source-coding exponent of Csiszar and Korner for some sources that have zeroes in the "channel" matrix connecting the source with the side information. An extension of our scheme to the lossy case (i.e., Wyner-Ziv) is given. For the case in which the side information is a deterministic function of the source, the exponent of our improved scheme agrees with the sphere-packing bound exactly (thus determining the reliability function). An application of our functional to zero-error channel capacity is also given.

关键词： Complementary graph entropy error exponents graph entropy side information Slepian-Wolf source coding Witsenhausen's rate Wyner-Ziv

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