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检索条件"主题词=Joint Source-channel coding"

共 619 条记录，以下是31-40 订阅

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joint source-channel coding for Broadcasting Correlated sources

Joint Source-Channel Coding for Broadcasting Correlated Sour...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Koken, Erman Tuncel, Ertem Univ Calif Riverside Riverside CA 92521 USA

ISBN: (纸本)9781509018062

We consider the lossy transmission of a memoryless bivariate Gaussian source over an average-power-constrained bandwidth-mismatched Gaussian broadcast channel with two receivers where each receiver is interested in only one component. We propose new hybrid digital/analog coding schemes which are demonstrated to outperform the previously known schemes.

关键词： Broadcast channels correlated sources hybrid digital/analog coding joint source-channel coding

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joint source-channel coding for the Transmission of Correlated sources over Two-Way channels

Joint Source-Channel Coding for the Transmission of Correlat...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Weng, Jian-Jian Alajaji, Fady Linder, Tamas Queens Univ Dept Math & Stat Kingston ON K7L 3N6 Canada

ISBN: (纸本)9781538692912

A joint source-channel coding (JSCC) scheme based on hybrid digital/analog coding is proposed for the transmission of correlated sources over discrete-memoryless two-way channels (DM-TWCs). The scheme utilizes the correlation between the sources in generating channel inputs, thus enabling the users to coordinate their transmission to combat channel noise. The hybrid scheme also subsumes prior coding methods such as rate-one separate source-channel coding and uncoded schemes for two-way lossy transmission, as well as the correlation-preserving coding scheme for (almost) lossless transmission. Moreover, we derive a distortion outer bound for the source-channel system using a genie-aided argument. A complete JSSC theorem for a class of correlated sources and DM-TWCs whose capacity region cannot be enlarged via interactive adaptive coding is also established. Examples that illustrate the theorem are given.

关键词： Network information theory two-way channels lossy transmission joint source-channel coding hybrid coding

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joint source-channel coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method 25

Joint Source-Channel Coding for Wireless Image Transmission:...

引用

IEEE Wireless Communications and Networking Conference (IEEE WCNC)

作者： Jarrahi, Mohammad Amin Bourtsoulatze, Eirina Abolghasemi, Vahid Univ Essex Sch Comp Sci & Elect Engn CSEE Colchester Essex England

ISBN: (纸本)9798350303582;9798350303599

Nowadays, the demand for image transmission over wireless networks has surged significantly. To meet the need for swift delivery of high-quality images through time-varying channels with limited bandwidth, the development of efficient transmission strategies and techniques for preserving image quality is of importance. This paper introduces an innovative approach to joint source-channel coding (JSCC) tailored for wireless image transmission. It capitalizes on the power of Compressed Sensing (CS) to achieve superior compression and resilience to channel noise. In this method, the process begins with the compression of images using a block-based CS technique implemented through a Convolutional Neural Network (CNN) structure. Subsequently, the images are encoded by directly mapping image blocks to complex-valued channel input symbols. Upon reception, the data is decoded to recover the channel-encoded information, effectively removing the noise introduced during transmission. To finalize the process, a novel CNN-based reconstruction network is employed to restore the original image from the channel-decoded data. The performance of the proposed method is assessed using the CIFAR-10 and Kodak datasets. The results illustrate a substantial improvement over existing JSCC frameworks when assessed in terms of metrics such as Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) across various channel Signal-to-Noise Ratios (SNRs) and channel bandwidth values. These findings underscore the potential of harnessing CNN-based CS for the development of deep JSCC algorithms tailored for wireless image transmission.

关键词： Wireless image transmission joint source-channel coding compressed sensing deep learning

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joint source-channel coding OF JPEG2000 IMAGE TRANSMISSION OVER CODED COOPERATIVE NETWORKS 2

JOINT SOURCE-CHANNEL CODING OF JPEG2000 IMAGE TRANSMISSION O...

引用

2nd IEEE China Summit / International Conference on Signal and Information Processing (IEEE ChinaSIP)

作者： Bi, Chongyuan Liang, Jie Wu, Di Simon Fraser Univ Sch Engn Sci Burnaby BC V5A 1S6 Canada Dalian Univ Technol Sch Comp Sci & Technol Dalian Peoples R China

ISBN: (纸本)9781479954032

In this paper, we propose a real-time successively refinable image transmission framework over coded cooperative networks. An Unequal Error Protection (UEP) scheme is designed to jointly allocate bits among source coding, channel coding and cooperation to minimize the reconstructed distortion at the receiver. The proposed scheme has a low complexity and is compliant to the JPEG2000 Wireless standard (JPWL). Experimental results demonstrate the effectiveness of the proposed scheme.

关键词： joint source-channel coding coded cooperation JPEG2000 UEP

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joint source-channel coding with Correlated Interference

Joint Source-Channel Coding with Correlated Interference

引用

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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joint source-channel coding for first-order Hidden Markov source 7

Joint Source-Channel Coding for first-order Hidden Markov So...

引用

7th International Conference on Computational Intelligence and Communication Networks (CICN)

作者： Yang, Hong Qing, Linbo He, Xiaohai Yang, Hong Sichuan Univ Coll Elect & Informat Engn Chengdu Peoples R China Univ Elect Sci & Technol Chengdu Coll Chengdu Peoples R China

ISBN: (纸本)9781509000760

In this paper, a novel joint source-channel coding scheme based on Irregular Repeat-Accumulate codec is proposed for the transmission of Hidden Markov source in AWGN scenarios. The encoder structure of the scheme consists of two units, one for source assign and another for encode. The simulation results demonstrate that the proposed scheme have better compression performance than the traditional code model and can exploit the different transmission performance based on four different types sources.

关键词： joint source-channel coding Hidden Markov source Irregular Repeat-Accumulate codec

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joint source-channel coding OF 3D VIDEO USING MULTI VIEW coding

JOINT SOURCE-CHANNEL CODING OF 3D VIDEO USING MULTI VIEW COD...

引用

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

作者： Vosoughi, Arash Testoni, Vanessa Cosman, Pamela Milstein, Laurence Univ Calif San Diego ECE San Diego CA 92103 USA

ISBN: (纸本)9781479903566

We consider the joint source-channel coding problem of a 3D video transmitted over an AWGN channel. The goal is to minimize the total number of bits, which is the sum of the number of source bits and the number of forward error correction bits, under two constraints: the quality of the primary view and the quality of the secondary view must be greater than or equal to a predetermined threshold at the receiver. The quality is measured in terms of the expected PSNR of an entire decoded group of pictures. A MVC (multiview coding) encoder is used as the source encoder, and rate compatible punctured turbo codes are utilized for protection of the encoded 3D video over the noisy channel. Equal error protection and unequal error protection are compared for various 3D video sequences and noise levels.

关键词： joint source-channel coding multiview video coding turbo codes unequal error protection

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joint source-channel coding for Wireless Image Transmission: A Neural Architecture Search Approach

Joint Source-Channel Coding for Wireless Image Transmission:...

引用

IEEE International Conference on Communications (IEEE ICC)

作者： Yang, Yuchen Wang, Shaowei Nanjing Univ Sch Elect Sci & Engn Nanjing 210023 Peoples R China

ISBN: (纸本)9781538674628

In this paper, we propose a joint source-channel coding (JSCC) scheme for wireless image transmission, where the encoder and decoder of the transmission system are implemented by convolutional neural networks. A neural architecture search (NAS) method is introduced to find promising network structures aiming at minimizing the distortion of the target image. Experimental results demonstrate that our proposed scheme, referred to as NAS-JSCC, significantly outperforms the conventional manually designed ones in terms of peak-signal-to-noise ratio in nearly all tested signal-to-noise ratio regions.

关键词： joint source-channel coding mobile edge computing neural architecture search wireless image transmission

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joint source-channel coding base on DL for Unmanned Aerial Vehicle Image Transmission 13

Joint Source-Channel Coding base on DL for Unmanned Aerial V...

引用

13th IEEE International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Wu Yi-chen Du Yu Liao Jing Chen Hua-wei Univ Elect Sci & Technol China Sch Astronaut & Aeronaut Chengdu 611731 Peoples R China

ISBN: (数字)9798350386271

ISBN: (纸本)9798350386288;9798350386271

Traditional image transmission solutions incorporate source coding to minimize redundant information, addressing bandwidth and power constraints. Following this, channel coding is applied to introduce redundancy, ensuring the efficacy of data transmission. However, unmanned aerial vehicles (UAVs) encounter challenges such as limited signal coverage, poor channel conditions, and constraints on transmission bandwidth and energy during wireless image transmission. The utilization of traditional source-channel concatenated coding for data transmission incurs a high cost. To tackle this challenge, this paper proposes a joint source-channel coding (JSCC) image transmission solution based on deep learning. This approach directly maps image pixels to complex-valued channels, thereby reducing the overall cost of end-to-end transmission. Furthermore, an optimized JSCC method is introduced, integrating adaptive attention mechanisms, channel estimation, and channel equalization algorithms. Experimental results demonstrate that the proposed method not only outperforms traditional concatenated transmission schemes but also enhances the performance of JSCC in terms of transmission quality.

关键词： joint source-channel coding Attention channel estimation channel equalization deep learning

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joint source‐channel coding 1

引用

丛书名： IEEE Press

2022年

作者： Andres Kwasinski Vinay Chande

joint source-channel coding Consolidating knowledge on joint source-channel coding (JSCC), this book provides an indispensable resource on a key area of performance enhancement for communications networks

ISBN: (数字)9781118693803

ISBN: (纸本)9781119978527

关键词： joint source-channel coding Andres Kwasinski Vinay Chande JSCC digital and wireless communication systems and networks coding and decoding algorithms

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