Results 211 to 220 of about 118,779 (245)

Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks

2021 IEEE International Symposium on Information Theory (ISIT), 2021
In this paper, we study Joint Source-Channel Coding (JSCC) for distributed analog functional compression over both Gaussian Multiple Access Channel (MAC) and AWGN channels. Notably, we propose a deep neural network based solution for learning encoders and decoders. We propose three methods of increasing performance.
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri   +2 more
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Interference Management for Multiple Multicasts with Joint Distributed Source/Channel/Network Coding

IEEE Transactions on Communications, 2013
This paper focuses on the QoS-constrained jointly optimal adaptive distributed source coding, channel coding, network coding and power control for Co-Channel Interference (CCI)-limited wireless multiple class multicast networks, such as, for example, Wireless Sensor Networks (WSNs). The goal is to allocate the available system-wide resources by jointly
Cordeschi N., Polli V., Baccarelli E.
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Design of Low-Delay Distributed Joint Source-Channel Codes Using Irregular LDPC Codes

2012 IEEE Vehicular Technology Conference (VTC Fall), 2012
A practical approach to designing distributed joint source channel (DJSC) codes for correlated binary sources using LDPC codes is presented. In this approach, both distributed compression and channel error protection are achieved by optimally puncturing bits of a systematic channel code to match the source correlation and channel error probability ...
Iqbal Shahid, Pradeepa Yahampath
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Joint source-channel rate control for pixel-domain distributed video coding

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
We study the scenario of pixel-domain distributed video coding for noisy transmission environments and propose a method to allocate the available rate between source coding and channel coding to generate a robust video stream. Having observed in experiments the uncertainty of the source and the channel coding rate, we model them as random variables via
Hu Chen, Eckehard Steinbach, Chang Wen Chen   +2 more
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Distributed Source and Joint Source-Channel Coding: from Theory to Practice

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
This paper reviews the theory behind distributed source coding and distributed source-channel coding and surveys the progress made in code design during the last years.
J. Garcia-Frias, null Zixiang Xiong
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VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020
In this paper, we introduce a framework for Joint Source-Channel Coding of distributed Gaussian sources over a multiple access AWGN channel. Although there are prior works that have studied this, they either strongly rely on intuition to design encoders and decoder or require the knowledge of the complete joint distribution of all the distributed ...
Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri   +2 more
openaire   +1 more source

A distributed joint source-channel coding scheme for multiple correlated sources

2009 Fourth International Conference on Communications and Networking in China, 2009
Multiple nodes sensing the common target is the most popular application of the Wireless Sensor Networks (WSNs). Pure distributed compression of multiple correlated sources has been discussed much in the related literature, while taking the noisy communication channels into account is more suitable for the actual scenario.
Xuqi Zhu, Lin Zhang, Yu Liu
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Syndrome-based error resilient scheme of distributed joint source-channel coding

2009 IEEE International Conference on Communications Technology and Applications, 2009
In this paper,we consider the problem of distributed joint source and channel coding(DJSCC),which combines distributed source coding and channel coding into one single encoder. Unlike other parity-based DJSCC schemes,we here employ syndrome-based method which has been considered as optimal in compression but loss of error resilience,to achieve the same
Guodong Xue, Wenbo Zhang, Chenxi Hao
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Joint Source–Channel Coding via Compressed Distribution Matching in Fiber-Optic Communications

Optical Fiber Communication Conference (OFC) 2019, 2019
The variability of source entropy due to data idling is inconsistent with most studies' assumptions in probabilistic shaping. We propose a distribution matcher sensitive to the source entropy, and discuss its impacts on fiber-optic communications.
Tsuyoshi Yoshida, Magnus Karlsson, Erik Agrell   +2 more
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Distributed Joint Source-Channel Polar Coding

2022 IEEE International Symposium on Information Theory (ISIT), 2022
Yanfei Dong, Kai Niu, Jincheng Dai
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