Results 211 to 220 of about 12,453 (251)

Joint source/channel coding for wireless channels

1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century, 2002
Shannon's (1948) fundamental theorem showing that source coding and channel coding can be separated without any loss of optimality does not apply to general time-varying channels. Since the distortion by the source encoder decreases with the data rate, while the channel errors increase with the data rate, the joint source/channel coding problem reduces
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Joint source-channel LZ'77 coding

Data Compression Conference, 2003. Proceedings. DCC 2003, 2003
Limited memory and bounded communication resources require powerful data compression techniques, but at the same time noisy tetherless channels and/or corrupted file systems need error correction capabilities. Joint source-channel coding has emerged as a viable solution to this problem.
S. Lonardi, W. Szpankowski
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Image/video communications: joint source/channel coding

International Journal of Communication Systems, 1999
Transmission of image/video messages over communication networks is becoming a standard way of communication due to very efficient compression algorithms that reduce required channel capacity to an acceptable level. However, all compression standard techniques are strongly sensitivitive to channel disturbances and their application is suitable only for
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Zero-delay joint source-channel coding

2014 Iran Workshop on Communication and Information Theory (IWCIT), 2014
In zero-delay joint source-channel coding each source sample is mapped to a channel input, and the samples are directly estimated at the receiver based on the corresponding channel output. Despite its simplicity, uncoded transmission achieves the optimal end-to-end distortion performance in some communication scenarios, significantly simplifying the ...
I. E. Aguerri, M. Varasteh, D. Gunduz
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A joint source/channel coding design

WCC 2000 - ICCT 2000. 2000 International Conference on Communication Technology Proceedings (Cat. No.00EX420), 2002
A method of joint source/channel coding is presented. Based on the statistics of a source with N different symbols, we select N codes having a desired minimum Hamming distance d/sub min/, between them. The decoder utilizes the d/sub min/ and the corresponding relationship between code and symbol to recover the original sequence of symbols without the ...
null Zhou Yanlei, null Liang Zhao, null Meng Shan, null Zhang Youwei   +3 more
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LDGM codes for joint source-channel coding of correlated sources

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
A system based on the use of systematic linear codes with low-density generator matrix (LDGM codes) for joint source-channel coding of multiterminal correlated binary sources is proposed. The encoding structure and different decoding possibilities are investigated and evaluated.
W. Zhong, H. Lou, J. Garcia-Frias
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Joint Source‐Channel Coding

2022
Andres Kwasinski, Vinay Chande
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Joint source-channel coding with feedback

2005
Communications is about conveying information from one point to another subject to certain performance constraints. The information is assumed to be generated by a source and may, for example, represent a voice waveform, the reading of a thermal sensor, or packets generated by a node in a network.
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Joint Source-Channel Polar-Coded Modulation

2022 IEEE International Symposium on Information Theory (ISIT), 2022
Bolin Wu, Jincheng Dai, Kai Niu
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The new (Version 9) American Joint Committee on Cancer tumor, node, metastasis staging for cervical cancer

Ca-A Cancer Journal for Clinicians, 2021
Alexander B Olawaiye
exaly