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joint source-channel coding of a Gaussian mixture source over the Gaussian broadcast channel

IEEE TRANSACTIONS ON INFORMATION THEORY 2002年第3期48卷 776-781页

作者： Reznic, Z Zamir, R Feder, M Tel Aviv Univ Dept Elect Engn Syst IL-69978 Tel Aviv Israel Texas Instruments Inc Cable Broadband Commun Libit IL-46766 Herzliyya Israel

Suppose that we want to send a description of a single source to two listeners through a Gaussian broadcast channel, where the channel is used once per source sample. The problem of joint source-channel coding is to design a communication system to minimize the distortion D-1 at receiver 1 and at the same time minimize the distortion D-2 at receiver 2. If the source is Gaussian, the optimal solution is well known, and it is achieved by an uncoded "analog" scheme. In this correspondence, we consider a Gaussian mixture source. We derive inner and outer bounds for the distortion region of all (D-1, D-2) pairs that are simultaneously achievable. The outer bound is based on the entropy power inequality, while the inner bound is attained by a digital-over-analog encoding scheme, which we present here. We also show that if the modes of the Gaussian mixture are highly separated, our bounds are tight, and hence, our scheme attains the entire distortion region. This optimal region exceeds the region attained by separating source and channel coding, although it does not contain the "ideal" point (D-1, D-2) = (R-1(C-1), R-1(C-2)).

关键词： digital-over-analog scheme distortion region joint source-channel coding separation principle

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joint source-channel coding for motion-compensated DCT-based SNR scalable video

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IEEE TRANSACTIONS ON IMAGE PROCESSING 2002年第9期11卷 1043-1052页

作者： Kondi, LP Ishtiaq, F Katsaggelos, AK SUNY Buffalo Dept Elect Engn Buffalo NY 14260 USA Motorola Inc Motorola Labs Multimedia Commun Res Labs Schaumburg IL 60196 USA Northwestern Univ Dept Elect & Comp Engn Evanston IL 60208 USA

In this paper, we develop an approach toward joint source-channel coding for motion-compensated DCT-based scalable video coding and transmission. A framework for the optimal selection of the source and channel coding rates over all scalable layers is presented such that the overall distortion is minimized. The algorithm utilizes universal rate distortion characteristics which are obtained experimentally and show the sensitivity of the source encoder and decoder to channel errors. The proposed algorithm allocates the available bit rate between scalable layers and, within each layer, between source and channel coding. We present the results of this rate allocation algorithm for video transmission over a wireless channel using the H.263 Version 2 signal-to-noise ratio (SNR) scalable codec for source coding and rate-compatible punctured convolutional (RCPC) codes for channel coding. We discuss the performance of the algorithm with respect to the channel conditions, coding methodologies, layer rates, and number of layers.

关键词： joint source-channel coding scalable video wireless video

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Combined hidden Markov source estimation and low-density parity-check coding: a novel joint source-channel coding scheme for multimedia communications

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WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2002年第6期2卷 643-650页

作者： Yin, LG Lu, JH Wu, YS Tsing Hua Univ Dept Elect Engn Beijing 100084 Peoples R China

joint source-channel coding schemes have been proven to be very effective for reliable multimedia communications. In this paper, we develop a joint source-channel coding scheme that combines the hidden Markov source (HMS) estimation and the low-density parity-check (LDPC) codes with an iterative estimation/decoding scheme. With this innovative combination, multimedia source redundancy Could be accurately extracted by the hidden Markov estimation without any a priori information about the source. Moreover, the interleaver that is usually used to separate the source coding and channel coding can be avoided by exploiting the randomizing property of the LDPC codes. Furthermore, the channel decoding procedure may be implemented in parallel, resulting in good performance with a fairly low decoding complexity and delay. Simulation results have shown that the proposed scheme can achieve much better performance than the standard coding scheme over the binary input additive white Gaussian noise (BIAWGN) channels. Copyright (C) 2002 John Wiley Sons, Ltd.

关键词： joint source-channel coding hidden Markov source (HMS) estimation low-density parity-check (LDPC) codes multimedia communications

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joint source coding and packet classification for real-time video transmission over differentiated services networks

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IEEE TRANSACTIONS ON MULTIMEDIA 2005年第4期7卷 716-726页

作者： Zhai, F Luna, CE Eisenberg, Y Pappas, TN Berry, R Katsaggelos, AK Texas Instruments Inc Dallas TX 75243 USA Northwestern Univ Dept Elect & Comp Engn Evanston IL 60208 USA Boeing Co Laser & Electroopt Syst Canoga Pk CA 91309 USA

Differentiated Services (DiffServ) is one of the leading architectures for providing quality of service in the Internet. We propose a scheme for real-time video transmission over a DiffServ network that jointly considers video source coding, packet classification, and error concealment within a framework of cost-distortion optimization. The selections of encoding parameters and packet classification are both used to manage end-to-end delay variations and packet losses within the network. We present two dual formulations of the proposed scheme: the minimum distortion problem, in which the objective is to minimize the end-to-end distortion subject to cost and delay constraints, and the minimum cost problem, which minimizes the total cost subject to end-to-end distortion and delay constraints. A solution to these problems using Lagrangian relaxation and dynamic programming is given. Simulation results demonstrate the advantage of jointly adapting the source coding and packet classification in DiffServ networks.

关键词： error concealment error resilience joint source-channel coding multimedia communication optimal resource allocation QoS unequal error protection (UEP)

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Multiple description coding based on Gaussian mixture models

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IEEE SIGNAL PROCESSING LETTERS 2005年第6期12卷 449-452页

作者： Samuelsson, J Plasberg, JH Royal Inst Technol KTH Dept Signals Sensors & Syst Wireless S-10044 Stockholm Sweden

An algorithm for multiple description coding (MDC) based on Gaussian mixture models (GMMs) is presented. Based on the parameters of the GMM, the algorithm combines MDC scalar quantizers, yielding a source-optimized vector MDC system. The performance is evaluated on a speech spectrum source in terms of mean-squared error and log spectral distortion. It is demonstrated experimentally that the proposed system outperforms single description coding and repetition coding over a wide range of channel failure probabilities. The proposed algorithm has a complexity that is linear in rate and dimension while retaining a near optimal vector quantizer point density.

关键词： Gaussian mixture models (GMMs) joint source-channel coding multiple description coding (MDC) quantization

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source-optimized channel coding for digital transmission channels

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IEEE TRANSACTIONS ON COMMUNICATIONS 2005年第4期53卷 592-600页

作者： Heinen, S Vary, P Infineon Technol AG Dev Ctr Dusseldorf D-40489 Dusseldorf Germany Rhein Westfal TH Aachen Univ Inst Commun Syst & Data Proc D-52056 Aachen Germany

We present a new class of nonlinear block codes called source-optimized channel codes (SOCCs), which are particularly designed for parametric source encoding of speech, audio, and video. In contrast to conventional channel codes, the new codes are not optimized for minimizing residual bit-error rate, but maximizing the signal-to-noise ratio of transmitted source codec parameters. The decoding of SOCCs is not based on bit-error correction, but on parameter estimation. We compare SOCCs with other approaches to joint source/channel coding such as channel-optimized vector quantization, channel-constrained vector quantization, unequal error protection, and source-controlled channel decoding. In terms of performance, SOCCs show better robustness if under channel mismatch conditions. For real-world applications, SOCCs are attractive, since the separation of source and channel codec is preserved.

关键词： joint source-channel coding nonlinear block codes parameter estimation

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LDPC-based joint, source-channel coding scheme for multimedia communications 8

LDPC-based joint, source-channel coding scheme for multimedi...

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8th International Conference on Communication Systems

作者： Yin, LG Lu, JH Wu, YS Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)0780375106

joint source-channel coding schemes have been proven to be effective ways for reliable multimedia communications. In this paper, we develop a joint source-channel coding scheme that well combines the hidden Markov source (HMS) estimation and the powerful low-density parity-check (LDPC) codes with an iterative estimation/decoding scheme. With this coding method, the source redundancy could be accurately extracted by the hidden Markov estimation without using any priori information about the source. Moreover, the interleaver that is likely used to separate the source coding and channel coding is exempted by exploiting the randomizing property of the LDPC codes, while the channel decoding procedure may be implemented in parallel, resulting in good performance with a fairly low decoding complexity and delay. Simulation results have shown that the proposed scheme may achieve a much better performance than that of the standard coding scheme over the binary input additive white Gaussian noise (BIAWGN) channels.

关键词： joint source-channel coding hidden Markov source (HMS) estimation low density parity check (LDPC) codes iterative decoding multimedia communications

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H.263+packet video over wireless IP networks using rate-compatible punctured turbo (RCPT) codes with joint source-channel coding

H.263+packet video over wireless IP networks using rate-comp...

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IEEE International Conference on Image Processing

作者： Pei, Y Modestino, JW Rensselaer Polytech Inst ECSE Dept Troy NY 12180 USA

ISBN: (纸本)0780376226

In this paper, we consider real-time video coding and transmission over packet-switched wireless IP networks using RCPT codes in a joint source and channel coding (JSCC) approach. In particular, the performance of this JSCC approach employing RCPT coding schemes for RTP-H.263+ packet video transmission over so fading Rician channels is studied. Results indicate that an RCPT-JSCC approach is attractive for real-time video applications an leads to increased system capacity together with more acceptable delivered video quality over time-varying wireless networks.

关键词： video transmission RTP-H.263+ RCPT codes joint source-channel coding Rician fading passive error recovery

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Packet video transmission over wireless channels with adaptive channel rate allocation

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JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2005年第4-5期16卷 475-498页

作者： Kung, WY Kim, CS Kuo, CCJ Univ So Calif Dept Elect Engn Integrated Media Syst Ctr Los Angeles CA 90089 USA Chinese Univ Hong Kong Dept Informat Engn Shatin Hong Kong Peoples R China

A robust video communication system based on layered coding and unequal error protection is developed in this work. We consider two video communication scenarios. First, for pre-compressed video bitstreams, a channel code rate allocation scheme is proposed to minimize the expected mean square error subject to a constraint on the overall bit budget. Second, for real-time video transmission, we jointly optimize the quantization parameters and the channel coding rates according to channel conditions. To this end, we develop a simple rate-distortion model for general video coders using DCT and motion compensation, so that the rate and the distortion can be estimated without an expensive encoding procedure. Simulation results Show that the proposed algorithms provide acceptable image quality even in high bit error rate environments. (c) 2005 Elsevier Inc. All rights reserved.

关键词： packet video wireless video robust video transmission joint source-channel coding unequal error protection

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channel capacity and state estimation for state-dependent Gaussian channels

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IEEE TRANSACTIONS ON INFORMATION THEORY 2005年第4期51卷 1486-1495页

作者： Sutivong, A Chiang, M Cover, TM Kim, YH Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Dept Stat Stanford CA 94305 USA

We formulate a problem of state information transmission over a state-dependent channel with states known at the transmitter. In particular, we solve a problem of minimizing the mean-squared channel state estimation error E parallel to S-n - S-n parallel to for a state-dependent additive Gaussian channel Y-n = X-n + S-n + Z(n) with an independent and identically distributed (i.i.d.) Gaussian state sequence S-n = (S1,..., S-n) known at the transmitter and an unknown i.i.d. additive Gaussian noise Z(n). We show that a simple technique of direct state amplification (i.e., X-n = alpha S-n), where the transmitter uses its entire power budget to amplify the channel state, yields the minimum mean-squared state estimation error. This same channel can also be used to send additional independent information at the expense of a higher channel state estimation error. We characterize the optimal tradeoff between the rate R of the independent information that can be reliably transmitted and the mean-squared state estimation error D. We show that any optimal (R, D) tradeoff pair can be achieved via a simple power-sharing technique, whereby the transmitter power is appropriately allocated between pure information transmission and state amplification.

关键词： additive Gaussian noise channels channels with state-information joint source-channel coding state amplification state estimation

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