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IEEE International Symposium on Information Theory Proceedings (ISIT)

作者： Kostina, Victoria Verdu, Sergio Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

ISBN: (纸本)9781479904464

This paper shows the strong converse and the dispersion of memoryless channels with cost constraints. The analysis is based on a new non-asymptotic converse bound expressed in terms of the distribution of a random variable termed the b-tilted information density, which plays a role similar to that of the information density in channel coding without cost constraints. We also analyze the fundamental limits of lossy joint-source-channel coding over channels with cost constraints.

关键词： Converse finite blocklength regime channels with cost constraints joint source-channel coding strong converse dispersion memoryless sources memoryless channels Shannon theory

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Error-resilient decoding of context-based adaptive binary arithmetic codes

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Signal, Image and Video Processing 2007年第1期1卷 77-87页

作者： Jeanne, Marion Guillemot, Christine Guionnet, Thomas Pauchet, Florelle IRISA INRIA Campus Universitaire de Beaulieu Rennes 35042 France Envivio Chantepie France

This paper addresses the problem of error-resilient decoding of bitstreams produced by the CABAC (context-based adaptive binary arithmetic coding) algorithm used in the H.264 video coding standard. The paper describes a maximum a posteriori (MAP) estimation algorithm improving the CABAC decoding performances in the presence of transmission errors. Methods improving the re-synchronization and error detection capabilities of the decoder are then described. A variant of the CABAC algorithm supporting error detection based on a forbidden interval is presented. The performances of the decoding algorithm are first assessed with theoretical sources and by considering different binarization codes. They are compared against those obtained with Exp-Golomb codes and with a transmission chain making use of an error-correcting code. The approach has been integrated in an H.264/MPEG-4 AVC video coder and decoder. The PSNR gains obtained are discussed. © 2007 Springer-Verlag London Limited.

关键词： Entropy coding Error resilience H.264/MPEG-4 AVC standard joint source-channel coding Video compression Wireless communication

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Adpative video transmission system over Rayleigh fading channel

Adpative video transmission system over Rayleigh fading chan...

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4th International Conference on Cybernetics and Information Technologies, Systems and Applications/5th Int Conf on Computing, Communications and Control Technologies

作者： Wu, Jia-Chyi Li, Chi-Min Huang, Wei-Chen Natl Taiwan Ocean Univ Dept Commun & Guidance Engn Chilung 20224 Taiwan

ISBN: (纸本)9781934272077

Objective of this paper is to investigate the joint source/channel coding and modulation algorithm, which provides a uniform video transmission rate to achieve better system performance with limited channel capacity. In the proposed algorithm we apply MPEG-2 video coding scheme, and turbo channel coding technique as well as BPSK/QPSK for modulation method. Rates assigned to MPEG-2 source coding and turbo channel coding schemes are based on the feedback information from Performance Control Unit (PCU) under system channel capacity limitation, which ensures the given system achieved the best performance compared to conventional systems.

关键词： joint source-channel coding MPEG2 turbo code Performance Control Unit (PCU)

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Wireless Point Cloud Transmission 25

Wireless Point Cloud Transmission

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25th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Bian, Chenghong Shao, Yulin Gunduz, Deniz Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England Univ Macau State Key Lab Internet Things Smart City Taipa Macao Peoples R China Univ Macau Dept Elect & Comp Engn Taipa Macao Peoples R China

ISBN: (纸本)9798350393194;9798350393187

3D point cloud is a three-dimensional data format generated by LiDARs and depth sensors, and is being increasingly used in a large variety of applications. This paper presents a novel solution called SEmantic Point cloud Transmission (SEPT), for the transmission of point clouds over wireless channels with limited bandwidth. At the transmitter, SEPT encodes the point cloud via an iterative downsampling and feature extraction process. At the receiver, SEPT reconstructs the point cloud with latent reconstruction and offset-based upsampling. A novel SNR-adaptive module is proposed which allows the adaptive trained model to achieve comparable performance with the models trained and tested at different SNRs. Extensive numerical experiments confirm that SEPT significantly outperforms the standard approach with octree-based compression followed by channel coding. Compared with a more advanced benchmark that utilizes state-of-the-art deep learning-based compression techniques, SEPT achieves comparable performance while eliminating the cliff and leveling effects.

关键词： joint source-channel coding neural networks point cloud semantic communication

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Layered unequal loss protection for image transmission over packet loss channels with delay constraints

Layered unequal loss protection for image transmission over ...

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Conference on Multimedia Systems and Applications VII

作者： Cai, JF Li, XJ Chen, CW Nanyang Technol Univ Sch Comp Engn Ctr Multimedia & Network Technol Singapore 639798 Singapore

ISBN: (纸本)0819455539

In the case of high bit rate image transmission or having lots of packets, the FEC (forward error correction) encoding and decoding processes in the ULP (unequal loss protection) based schemes should be applied to individual packet groups instead of all the packets in order to avoid long processing delay. In this paper, we propose a layered ULP (L-ULP) scheme for fast and efficient FEC allocations among different packet groups and also within each packet group. The numerical results show that the proposed L-ULP scheme is quite promising for fast image transmission over packet loss networks.

关键词： progressive image transmission unequal loss protection joint source-channel coding forward error correction packet loss

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Leveraging Stable Diffusion with Context-Aware Prompts for Semantic Communication 21

Leveraging Stable Diffusion with Context-Aware Prompts for S...

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21st IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)

作者： Nguyen, Long V. Nguyen, Tuan T. Dobre, Octavia A. Duong, Trung Q. Mem Univ St John NF Canada Univ Greenwich London England

ISBN: (纸本)9798350363999;9798350364002

Semantic communication in wireless image transmission leverages the meaning embedded in the image data, aiming to compress, transmit, and reconstruct images based on their semantic content rather than purely pixel data. This paradigm shift allows more efficient utilization of bandwidth and computational resources, focusing on extracting key features and contextual information that is critical for ensuring that the essential content of the image is preserved and accurately conveyed. In this study, we present a novel Stable Diffusion-based semantic communication (SDSC) framework that demonstrates high performance, characterized by an elevated bandwidth compression ratio (BCR) and robust noise tolerance achieved by diffusion mechanism integrating supplementary prompts. Our approach utilizes pre-trained modules of a Variational autoencoder (VAE) and a modified U-shaped network (UNet) to enable robust semantic encoding, decoding, and effective channel denoising. This scheme significantly enhances the system's ability to preserve data integrity and meaning in noisy environments. By introducing additional context-aware prompts during transmission, we improve the accuracy of received information and mitigate the adverse effects of interference and noise. Extensive simulations show that our framework outperforms previous innovative models, demonstrating superior communication fidelity and efficiency under various challenging conditions.

关键词： Semantic communication wireless image transmission stable diffusion joint source-channel coding

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A low complexity progressive bitstream transmission system for hybrid channels with correlated loss

A low complexity progressive bitstream transmission system f...

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IEEE International Conference on Image Processing (ICIP 2006)

作者： Etemadi, Farzad Jafarkhani, Hamid Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92697 USA

ISBN: (纸本)9781424404810

We propose a simple, low-complexity coding scheme for the transmission of a packetized progressive bitstream. We consider tandem channels introducing correlated bit errors and packet erasures. We show that our proposed technique transforms the hybrid channel into a channel with a single impairment for which various optimization techniques exists. Numerical results show that our proposed scheme outperforms existing solutions over the useful operating regions of the channel.

关键词： joint source-channel coding progressive transmission rate allocation product codes

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Energy-Distortion Exponents in Lossy Transmission of Gaussian sources Over Gaussian channels

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IEEE TRANSACTIONS ON INFORMATION THEORY 2017年第2期63卷 1227-1236页

作者： Koken, Erman Gunduz, Deniz Tuncel, Ertem Univ Calif Riverside Dept Elect & Comp Engn Riverside CA 92521 USA Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

Lossy transmission of Gaussian sources over energy-limited Gaussian point-to-point and broadcast channels is studied under the infinite bandwidth regime, i.e., when the number of channel uses is unlimited. Using previously known asymptotic achievability and converse results, the energy-distortion exponent, defined as the rate of decay of the square-error distortion as the available energy-to-noise ratio increases without bound, is completely characterized for both the point-to-point and broadcast channel cases. Turning then to the scenario of zero-delay transmission, where outage events with arbitrarily small probability are allowed, it is shown that the same energy-distortion exponent as in the infinite-delay case can be achieved in all the studied scenarios.

关键词： Broadcast channels energy-distortion exponent energy-distortion tradeoff energy-limited transmission joint source-channel coding zero-delay

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An Improved Iterative Decoding Scheme based on Error-resistant Arithmetic Code

An Improved Iterative Decoding Scheme based on Error-resista...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Lin, Qiuzhen Wong, Kwok-Wo Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China

ISBN: (纸本)9781479934324

In this paper, an improved soft in soft out (SISO) iterative decoding scheme for joint source-channel coding is presented. It is realized as the iterative soft decoding of arithmetic code based on sequential decoding to successively prune the decoding tree. Making use of the forecasted forbidden symbols, an error-resistant arithmetic code with an improved a posteriori probability (APP) metric is adopted to further enhance the error correction performance. Simulation results have validated the superiority of our scheme in terms of packet error rate for the AWGN channel.

关键词： joint source-channel coding Arithmetic coding Iterative Decoding

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Strategic Quantization over a Noisy channel 57

Strategic Quantization over a Noisy Channel

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57th Asilomar Conference on Signals, Systems and Computers

作者： Anand, Anju Akyol, Emrah SUNY Binghamton Elect & Comp Engn Binghamton NY 13902 USA

ISBN: (纸本)9798350325744

This paper is concerned with the strategic quantization setting where the encoder and the decoder have misaligned objectives and communicate over a noisy channel, extending the work on classical channel-optimized quantization. This problem without the quantization constraint has been well-studied under the theme of information design problems in Economics. It is more appealing and relevant to engineering applications with a constraint on the cardinality of the message space. We consider a scalar source X and develop a gradient-descent based solution in conjunction with random index assignment, which has been used in prior literature on classical channel-optimized quantizaton. In our prior work, we used dynamic programming for this problem. Here, we employ gradient descent to reduce the complexity of the algorithm. We finally present numerical results obtained via the proposed algorithm that suggest its validity and demonstrate the strategic quantization features that differentiate it from its classical counterpart. The codes are available at: https://***/asilomar2023.

关键词： Quantization joint source-channel coding game theory gradient descent

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