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Low-complexity iterative joint source-channel decoding for variable-length encoded Markov sources

IEEE TRANSACTIONS ON COMMUNICATIONS 2005年第12期53卷 2054-2064页

作者： Thobaben, R Kliewer, J Univ Kiel Inst Circuits & Syst Theory D-24143 Kiel Germany Univ Notre Dame Dept Elect Engn Notre Dame IN 46556 USA

In this paper, we present a novel packetized bit-level decoding algorithm for variable-length encoded Markov sources, which calculates reliability information for the decoded bits in the form of a posteriori probabilities (APPs). An interesting feature of the proposed approach is that symbol-based source statistics in the form of the transition probabilities of the Markov source are exploited as a priori information on a bit-level trellis. This method is especially well-suited for long input blocks, since in contrast to other symbol-based APP decoding approaches, the number of trellis states does not depend on the packet length. When additionally the variable-length encoded source data is protected by channel codes, an iterative source-channel decoding scheme can be obtained in the same way as for serially concatenated codes. Furthermore, based on an analysis of the iterative decoder via extrinsic information transfer charts, it can be shown that by using reversible variable-length codes with a free distance of two, in combination with rate-1 channel codes and residual source redundancy, a reliable transmission is possible even for highly corrupted channels. This justifies a new source-channel encoding technique where explicit redundancy for error protection is only added in the source encoder.

关键词： iterative decoding joint source-channel decoding residual source redundancy variable-length codes (VLCs)

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Robust Transmission of Compressed HTML Files over Wireless channel using an Iterative joint source-channel decoding Receiver

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IEEE TRANSACTIONS ON COMMUNICATIONS 2012年第9期60卷 2679-2688页

作者： Jaoua, Zied Mokraoui, Anissa Duhamel, Pierre Univ Paris 13 L2TI Inst Galilee F-93430 Villetaneuse France LSS CNRS Supelec F-91192 Gif Sur Yvette France

This paper proposes an algorithm for the robust reception of compressed HTML files transmitted over a noisy mobile radio channel. Both source encoders and transmission systems are assumed to be standard compliant. The source encoder follows the HTTP1.1 protocol specifications, i.e. the HTML files are encoded by the deflate algorithm, a combination of Lempel-Ziv and Huffman algorithms. The transmission scheme follows IEEE 802.11a (and 802.11n) standard as an example. The proposed receiver is based on an iterative joint source-channel decoding approach. The Soft-Input Soft-Output outer source decoder is based on a sequential M-algorithm, which has been modified to improve the decoding performance by exploiting the specific grammatical and syntax rules of (i) Huffman codes;(ii) Lempel-Ziv codes;and (iii) HTML language. Simulation results following the IEEE 802.11a (and 802.11n) standard over additive white Gaussian noise and Rayleigh fading channels show that the proposed receiver drastically reduces the number of errors occurring in the received HTML files compared to the classical receivers. An EXIT chart analysis illustrates some properties of this combination of source and channel decoders.

关键词： Entropy codes Lempel-Ziv codes Huffman codes Iterative decoding Sequential decoding Hypertext systems joint source-channel decoding

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Speech Quality Improvement Based on List Viterbi and joint source-channel decoding in UMTS

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IEEE COMMUNICATIONS LETTERS 2013年第3期17卷 545-548页

作者： Wei, Yuejun Wu, Kedi Xia, Bin Yang, Yuhang Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200030 Peoples R China Huawei Technol Dept Wireless Res Shanghai Peoples R China

In this letter, we propose a simple and efficient method, called 'Dual-CRC', to improve speech quality based on the list Viterbi algorithm (LVA) in the Universal Mobile Telecommunications System (UMTS). We also employ the well-known joint source-channel decoding (JSCD) scheme together with LVA decoding to further improve the speech quality. Simulation results show that the two proposed decoders, the Dual-CRC LVA and the combination of the LVA and the JSCD, can significantly improve the speech quality for UMTS, especially in low signal-to-noise ratio and low mean opinion score regions.

关键词： AMR speech List Viterbi decoding joint source-channel decoding mean opinion score

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Distributed joint source-channel decoding Using Systematic Polar Codes

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IEEE COMMUNICATIONS LETTERS 2018年第1期22卷 49-52页

作者： Jin, Liqiang Yang, Pei Yang, Hongwen Beijing Univ Posts & Telecommun Wireless Commun Ctr Beijing 100876 Peoples R China

This letter proposes a novel joint decoding scheme for correlated sources using systematic polar codes. In the proposed scheme, each source independently encodes its message into a systematic polar code word and sends the codeword via a binary-input additive white Gaussian noise channel to the common destination, where adaptive cyclic redundancy check-aided successive cancellation list (CA-SCL) decoders are employed. During the iterative decoding process, the log likelihood ratios (LLRs) fed to each adaptive CA-SCL decoder are iteratively combined with the extrinsic LLRs from other decoders. The correlation among the sources is exploited to improve the decoding performance. Simulation results show that, in comparison with independent decoding, the proposed scheme can achieve significantly improved decoding performance without increased complexity.

关键词： Distributed sources joint source-channel decoding polar codes CA-SCL decoder

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Iterative joint source-channel decoding with combined a priori information of source and channel

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IEEE COMMUNICATIONS LETTERS 2005年第4期9卷 355-357页

作者： Liu, XB Koh, SN Nanyang Technol Univ Sch Elect & Elect Engn Singapore 2263 Singapore

A joint source-channel decoding (JSCD) scheme which exploits the combined a priori information of source and channel in an iterative manner is proposed. A sequence minimum mean-square error (SMMSE) estimator based on bit or symbol error transition probability of the channel with memory is proposed and used in the iterative decoding process. Simulation results show that our proposed scheme leads to significant improvement over the scheme without using the a priori information of the source or channel.

关键词： finite-state Markov channels Gilbert channels joint source-channel decoding iterative decoding

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joint source-channel decoding of Polar Codes for HEVC-Based Video Streaming

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ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 2022年第4期18卷 100-100页

作者： Lin, Jinzhi Zhang, Yun Li, Na Jiang, Hongling Shenzhen Inst Informat Technol Shenzhen 518172 Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China Beijing Informat Sci & Technol Univ Beijing 10092 Peoples R China

Ultra High-Definition (UHD) and Virtual Reality (VR) video streaming over 5G networks are emerging, in which High-Efficiency Video Coding (HEVC) is used as source coding to compress videos more efficiently and polar code is used as channel coding to transmit bitstream reliably over an error-prone channel. In this article, a novel joint source-channel decoding ( JSCD) of polar codes for HEVC-based video streaming is presented to improve the streaming reliability and visual quality. Firstly, a Kernel Density Estimation (KDE) fitting approach is proposed to estimate the positions of error channel decoded bits. Secondly, a modified polar decoder called R-SCFlip is designed to improve the channel decoding accuracy. Finally, to combine the KDE estimator and the R-SCFlip decoder together, the JSCD scheme is implemented in an iterative process. Extensive experimental results reveal that, compared to the conventional methods without JSCD, the error data-frame correction ratios are increased. Averagely, 1.07% and 1.11% Frame Error Ratio (FER) improvements have been achieved for Additive White Gaussian Noise (AWGN) and Rayleigh fading channels, respectively. Meanwhile, the qualities of the recovered videos are significantly improved. For the 2D videos, the average Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM) gains reach 14% and 34%, respectively. For the 360. videos, the average improvements in terms of Weighted-to-Spherically-uniform PSNR (WS-PSNR) and Voronoi-based Video Multimethod Assessment Fusion (VI-VMAF) reach 21% and 7%, respectively.

关键词： joint source-channel decoding HEVC polar code video streaming

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On the joint source-channel decoding of variable-length encoded sources: The BSC case

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IEEE TRANSACTIONS ON COMMUNICATIONS 2001年第12期49卷 2052-2055页

作者： Subbalakshmi, KP Vaisey, J Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ 07030 USA Simon Fraser Univ Sch Engn Sci Burnaby BC V5A 1S6 Canada

This paper proposes an optimal maximum a posteriori probability decoder for variable-length encoded sources over binary symmetric channels that uses a novel state-space to deal with the problem of variable-length source codes in the decoder. This sequential, finite-delay, joint source-channel decoder delivers substantial improvements over the conventional decoder and also over a system that uses a standard forward error correcting code operating at the same over all bit rates. This decoder is also robust to inaccuracies in the estimation of channel statistics.

关键词： error resilient communication joint source-channel decoding MAP decoding variable length codes

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A MAXIMUM LIKELIHOOD APPROACH TO CORRECTING TRANSMISSION ERRORS FOR joint source-channel decoding OF H.264 CODED VIDEO

A MAXIMUM LIKELIHOOD APPROACH TO CORRECTING TRANSMISSION ERR...

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20th IEEE International Conference on Image Processing (ICIP)

作者： Caron, Francois Coulombe, Stephane Univ Quebec Ecole Technol Super Dept Software & IT Engn Montreal PQ H3C 1K3 Canada

ISBN: (纸本)9781479923410

Real time video applications need to handle transmission errors, as retransmissions are impractical. In this paper, we present a novel joint source channel decoding approach for video error correction. Soft-output information is combined with our syntax element-level maximum likelihood framework to effectively extract valid macroblocks from corrupted H.264 slices. Simulation results show that our video error correction strategy provides better visual quality by reducing the size of the concealment region. Our observations indicate an average PSNR improvement of 0.8 dB (QP=36), with peaks above 10 dB, over state-of-the-art error concealment at a bit error rate of 10(-3).

关键词： video error correction joint source-channel decoding maximum likelihood decoding H.264 real-time video applications

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ON joint source-channel decoding AND INTERFERENCE CANCELLATION IN CDMA-BASED LARGE-SCALE WIRELESS SENSOR NETWORKS

ON JOINT SOURCE-CHANNEL DECODING AND INTERFERENCE CANCELLATI...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Illangakoon, Chathura Yahampath, Pradeepa Univ Manitoba Dept Elect Engn Winnipeg MB R3T 2N2 Canada

ISBN: (纸本)9781479903566

Motivated by potential applications in wireless sensor networks, we consider the problem of communicating a large number of correlated analog sources over a Gaussian multiple-access channel using non-orthogonal code-division multiple-access (CDMA). We present a joint source-channel decoder which exploits the inter-source correlation for interference reduction in the CDMA channel. This decoder uses a linear minimum mean square error (MMSE) multi-user detector (MUD) in tandem with a MMSE joint source decoder for multiple sources to achieve a computational complexity that scales with the number of sources. However, iterative exchange of extrinsic information between the MUD and the joint source decoder leads to improved interference cancellation. Experimental results obtained with decoding observations from Gaussian random fields show that the proposed iterative decoder can achieve a considerable performance gain compared to a non-iterative decoder. The results also show that the iterative decoder is robust against the performance degradation due to correlated interference in a non-orthogonal CDMA channel.

关键词： Multi-terminal source coding joint source-channel decoding iterative decoding CDMA multi-user detection

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Fast joint source-channel decoding of convolutional coded Markov sequences with monge property

Fast joint source-channel decoding of convolutional coded Ma...

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IEEE Information Theory Workshop

作者： Dumitrescu, Sorina McMaster Univ ECE Dept Hamilton ON L8S 4K1 Canada

ISBN: (纸本)9781424415632

We address the problem of joint source-channel maximum a posteriori (MAP) decoding of a Markov sequence which is first encoded by a source code, then encoded by a convolutional code, and sent through a noisy memoryless channel. The existing joint source-channel decoding algorithm for the case of general convolutional encoder has O(MK2 N) time complexity, where M is the length in bits of the information sequence, K is the size of the Markov source alphabet and N is the number of states of the convolutional encoder. We show that for Markov sources satisfying the so-called Monge property the decoding complexity can be decreased to O(MKN) by applying a fast matrix search technique.

关键词： joint source-channel decoding maximum a posteriori sequence estimation Markov sequence Monge property finite-state machine complexity

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