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18th IEEE International Conference on Image Processing (ICIP)

作者： Chen, Ching-Hui Chung, Wei-Ho Wang, Yu-Chiang Frank Acad Sinica Res Ctr Informat Technol Innovat Taipei 115 Taiwan

ISBN: (纸本)9781457713033

We propose a novel joint source-channel coding (JSCC) framework that jointly optimizes encoding modes of macroblocks and unequal error protection (UEP) of packets for error-resilient video transmission, and address the problem of source packet loss due to bit errors incurred in error-prone channels. In the proposed framework, we consider the source packet loss probability as a function of the encoding configuration of a slice. The task of optimization is complicated by the inherent interdependency between macroblocks in the same slice, since the encoding mode optimization for each macroblock requires the encoding configuration of entire slice to be known in advance. We resolve such interdependency via an iterative method that alternates between the optimization of the slice size and the associated encoding modes, and we also utilize adaptive quantization for coding residual for source rate control in different channel conditions. Simulation results show that our framework outperforms existing approaches.

关键词： Error-resilient joint source-channel coding unequal error protection adaptive quantization

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joint Decoding and Estimation of S patio-Temporally Correlated Binary sources

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2018年第7期67卷 6690-6694页

作者： Izbar, Mohd Azri Mohd Aljohani, Abdullah Jeza Ng, Soon Xin Hanzo, Lajos Univ Teknol Malaysia Razak Sch Engn & Adv Technol Wireless Commun Ctr Kuala Lumpur 54100 Malaysia Univ Teknol Malaysia Razak Sch Engn & Adv Technol U BAN Grp Kuala Lumpur 54100 Malaysia Umm Alqura Univ Mecca Saudi Arabia Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

In the context of distributed joint source-channel coding, we conceive a joint decoding and estimation scheme for binary Markov sources exhibiting spatio-temporal correlation. The proposed scheme is designed based on the serial concatenation of a trellis coded modulation (TCM) scheme and a unity-rate code. The symbol-based maximum a posteriori algorithm employed for TCM. decoding is modified in order to exploit the source correlation. The estimation of both the spatial and temporal correlation parameters is performed jointly with the iterative decoding, hence allowing the estimated parameters to he updated after each iteration. Our simulation results reveal that when both the spatial and temporal correlation parameters are unknown, the proposed joint decoding and estimation scheme approaches the performance to the ideal system relying on perfectly known correlation parameters, therefore, demonstrating the superiority of the proposed scheme.

关键词： joint source-channel coding distributed source coding joint decoding and estimation

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An Algorithm for Optimal Unequal Error Protection Rate Allocation Exploring Granular channel Rates

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IEEE COMMUNICATIONS LETTERS 2018年第5期22卷 926-929页

作者： Costa, Marcello Pinho, Marcelo Inst Tecnol Aeronaut Dept Elect Engn BR-12228900 Sao Jose Dos Campos Brazil

In this letter an algorithm is proposed for optimal rate allocation constructed over a wide set of granular channel rates obtained from rateless codes to provide an ideal adjustment for an unequal error protection scheme. This algorithm is based on dynamic programming for resource allocations with capacity restrictions solved as a knapsack problem;formulated to find among each rate arrangement for a progressive bit stream the one that minimizes distortion and maximizes throughput, that represents the adaptation parameters to optimize the rate-distortion performance by balancing resources. Computational results have shown gains in distortion [peak signal-to-noise ratio (PSNR)] of approximately 20 dB over the maximum admissible SNR variation in comparison to the equivalent equal error protection rate. Enough protection levels have been defined to establish the best capacity convergence and algorithm efficiency.

关键词： joint source-channel coding progressive transmission unequal error protection rate allocation

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joint source-channel Polarization With Side Information

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IEEE ACCESS 2018年 6卷 7340-7349页

作者： Jin, Liqiang Yang, Hongwen Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China

As an extension of source polarization and channel polarization, this paper considers joint source-channel polarization, which results in a joint source-channel coding (JSCC) scheme using a quasi uniform systematic polar code (SPC). In this JSCC scheme, the source with side information is encoded as a systematic polar codeword and only parity bits are transmitted through the channel. The indices of systematic bits are quasi-uniform, which enable the source and the channel to be jointly polarized to either a high entropy part or a low entropy part. The analysis reveals that the quasi-uniform SPC cannot be constructed via original polar coding. To solve this problem, additional bit-swap coding is introduced to modify original polar coding and construct this kind of SPCs. The proposed JSCC scheme can asymptotically approach the information-theoretical limit. For the noiseless channel, the proposed scheme is degraded into classic Slepain-Wolf coding or lossless source coding based on parity approach.

关键词： joint source-channel polarization joint source-channel coding side information systematic polar codes

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joint source-channel coding via Hybrid coding

Joint Source-Channel Coding via Hybrid Coding

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IEEE International Symposium on Information Theory (ISIT)

作者： Minero, Paolo Lim, Sung Hoon Kim, Young-Han Univ Notre Dame Dept EE Notre Dame IN 46556 USA Korea Adv Inst Sci & Technol Dept EE Daejeon South Korea Univ Calif San Diego Dept ECE La Jolla CA 92093 USA

ISBN: (纸本)9781457705953

A new analog-digital hybrid coding architecture for joint source-channel coding is proposed. The encoder generates a channel input by a symbol-by-symbol mapping of the observed (analog) source and its (digital) compression codeword, while the decoder reconstructs the source by a symbol-by-symbol mapping of the (analog) channel output and the decoded (digital) compression codeword from it. When applied to the problem of lossy communication of sources over the two-user discrete memoryless interference channel, this hybrid coding scheme achieves the best known performance and recovers as special cases several previous results on lossless and lossy communication over single hop networks.

关键词： channel coding Decoding Indexes Interference channels joints source coding analog source analog-digital hybrid coding combined source-channel coding decoded digital compression codeword decoding interference (signal) joint source-channel coding lossy communication single hop networks symbol-by-symbol mapping two-user discrete memoryless interference channel

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An Efficient Tree Search Algorithm for the Free Distance of Variable-Length Error-Correcting Codes

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IEEE COMMUNICATIONS LETTERS 2018年第3期22卷 474-477页

作者： Huang, Chun Wu, Ting-Yi Chen, Po-Ning Alajaji, Fady Han, Yunghsiang S. Natl Chiao Tung Univ Inst Commun Engn Hsinchu 300 Taiwan Univ Illinois Dept Elect & Comp Engn Champaign IL 61801 USA Queens Univ Dept Math & Stat Kingston ON K7L 3N6 Canada Dongguan Univ Technol Sch Elect Engn & Intelligentizat Dongguan 523808 Peoples R China

We propose an efficient tree search algorithm for determining the free distance of variable-length error-correcting codes (VLECs). A main idea behind the algorithm is to structure all pairs of code word-concatenated sequences as a tree, in which we seek the pair of sequences that determine the free distance. In order to speed up the algorithm, we establish constraints that do not compromise optimality in determining the free distance. Experimental results on VLECs algorithmically constructed for the English alphabet show that our algorithm requires a considerably smaller number of bitwise distance computations and covers a much smaller number of tree nodes than Dijkstra's algorithm operating over the pairwise distance graph while being a hundred times faster in terms of execution time.

关键词： joint source-channel coding variable length error-correcting codes free distance Dijkstra's algorithm

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A UEP Method for Imaging Low-Orbit Satellites Based on CCSDS Recommendations

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2018年第11期15卷 1770-1774页

作者： Schwartz, Christofer Torezzan, Cristiano Duarte, Leonardo Tomazeli Univ Estadual Campinas Sch Appl Sci BR-13083970 Limeira SP Brazil

Remote sensing satellites allow continuous information acquisition from large areas of the earth and have been intensively applied in a number of applications, from agriculture to defense. A major challenge in remote sensing is that satellite communication systems present bandwidth restrictions and several issues typical of time-variant channels, which justifies the need for signal coding techniques. In that sense, this letter proposes an unequal error protection method for aerospace applications using the recommendations for source and channel coding created by the Consultative Committee for Space Data System (CCSDS) as frameworks. The proposed method makes use of the CCSDS-recommended convolutional code to ensure a channel coding step as low complex as possible, which allows implementation in a wide range of embedded platforms. This letter exploits the natural data division delivered by the compressor to unequally protect the information. The proposed method, which relies on a multiobjective optimization problem, allows one to find rate arrangements that minimize the distortion of the received image for a given value of an average coding rate within a granular range. The system performance is evaluated over an additive white Gaussian noise channel model. The obtained results show that the proposed method presents several advantages over an equal error protection strategy, and paves the way for scenarios with stringent energy and bandwidth constraints.

关键词： Image coding joint source-channel coding satellite communication unequal error protection (UEP)

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SparseCast: Hybrid Digital-Analog Wireless Image Transmission Exploiting Frequency-Domain Sparsity

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IEEE COMMUNICATIONS LETTERS 2018年第12期22卷 2451-2454页

作者： Tung, Tze-Yang Gunduz, Deniz Univ Southern Calif Viterbi Sch Engn Los Angeles CA 90089 USA Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

A hybrid digital-analog wireless image transmission scheme, called SparseCast, is introduced, which provides graceful degradation with channel quality. SparseCast achieves improved end-to-end reconstruction quality while reducing the bandwidth requirement by exploiting frequency-domain sparsity through compressed sensing. The proposed algorithm produces a linear relationship between the channel signal-to-noise ratio and peak signal-to-noise ratio (PSNR) without requiring the channel state knowledge at the transmitter. This is particularly attractive when transmitting to multiple receivers or over unknown time-varying channels, as the receiver PSNR depends on the experienced channel quality and is not bottlenecked by the worst channel. SparseCast is benchmarked against two alternative algorithms: SoftCast and block CS-smooth projected Landweber (BCS-SPL). Our findings show that the proposed algorithm outperforms SoftCast by approximately 3.5 dB and BCS-SPL by 15.2 dB.

关键词： joint source-channel coding analog transmission compressed sensing

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joint source-channel coding with Correlated Interference

Joint Source-Channel Coding with Correlated Interference

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IEEE International Symposium on Information Theory (ISIT)

作者： Huang, Yu-Chih Narayanan, Krishna R. Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

ISBN: (纸本)9781457705953

In this paper, we study the joint source-channel coding problem of transmitting a discrete-time analog source over an additive white Gaussian noise (AWGN) channel with interference known at transmitter. We consider the case when the source and the interference are correlated. We first derive an outer bound on the achievable distortion and then, we propose two joint source-channel coding schemes to make use of the correlation between the source and the interference. The first scheme is the superposition of the uncoded signal and a digital part which is the concatenation of a Wyner-Ziv encoder and a dirty paper encoder. In the second scheme, the digital part is replaced by a hybrid digital and analog scheme so that the proposed scheme can provide graceful degradation in the presence of (signal-to-noise ratio) SNR mismatch. Interestingly, unlike the independent interference setup, we show that neither of both schemes outperform the other universally in the presence of SNR mismatch.

关键词： Distortion region joint source-channel coding cognitive radios

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ADAPTIVE STATE ESTIMATION OVER LOSSY SENSOR NETWORKS FULLY ACCOUNTING FOR END-TO-END DISTORTION 20

ADAPTIVE STATE ESTIMATION OVER LOSSY SENSOR NETWORKS FULLY A...

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IEEE Statistical Signal Processing Workshop (SSP)

作者： Li, Bohan Nanjundaswamy, Tejaswi Rose, Kenneth Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

ISBN: (纸本)9781538615713

This paper investigates state estimation with wireless sensors communicating over unreliable bandwidth-limited networks. Specifically, we consider so-called smart sensors equipped with simple processing units, which enable predictive coding at the sensor side, to meet the bandwidth constraint. While predictive coding significantly reduces the bit-rate by removing temporal redundancies, it exacerbates the impact of packet loss, due to error propagation through the prediction loop, potentially causing significant degradation of the reconstructed signal. To fully account for and control the conflict between coding efficiency and robustness to packet loss, we propose a coding approach that explicitly optimizes the tradeoff between rate and end-to-end distortion (EED). The proposed method determines optimal switching decisions between available coding modes, offering different compression-robustness operating points, based on EED that is optimally estimated at the encoder (sensor), in order to realize the best rate-distortion tradeoff. Simulation results demonstrate that the proposed approach achieves considerable gains in signal-to-noise ratio for state estimation over lossy sensor networks.

关键词： Kalman filter wireless sensors lossy networks end-to-end distortion joint source-channel coding

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