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Joint Source-Channel Coding Using Variable-Length Codes
Problems of Information Transmission, 2001The paper presents a decoding algorithm for joint source-channel coding when variable-length codes are used for information transmission over a discrete memoryless channel. The asymptotic lower bound on the exponent of the decoding error probability for variable-length codes has been established.
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1990
Reliable communication over a noisy channel is the focus of this chapter. The chapter begins with a development of the classic fundamental results of Feinstein regarding reliable communication of block codes and the relation of operational channel capacity to Shannon capacity for discrete channels. A technique of Dobrushin is used to extend Feinstein’s
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Reliable communication over a noisy channel is the focus of this chapter. The chapter begins with a development of the classic fundamental results of Feinstein regarding reliable communication of block codes and the relation of operational channel capacity to Shannon capacity for discrete channels. A technique of Dobrushin is used to extend Feinstein’s
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Nonlinear Transform Source-Channel Coding for Semantic Communications
IEEE Journal on Selected Areas in Communications, 2022Jincheng Dai, Wang Sixian, Zhongwei Si
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Source Coding and Channel Coding
2009This chapter contains sections titled: Average Codeword Length of Source Coding Prefix Codes Huffman Coding Channel Coding Error-correcting Capability and Hamming Distance Hamming Codes Convolutional Codes This chapter contains sections titled: Further Reading ...
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Long non-coding RNAs: definitions, functions, challenges and recommendations
Nature Reviews Molecular Cell Biology, 2023John S Mattick +2 more
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Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules
IEEE Transactions on Circuits and Systems for Video Technology, 2022Jialong Xu, Bo Ai, Wei Chen
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2016
This book deals with the subject of channel coding and forward error correction techniques, providing a complete, but introductory, overview on modern coding/decoding techniques, as well as on the theoretical bases on which they lay. It is meant for master degree students with a background in both probability and communication techniques.
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This book deals with the subject of channel coding and forward error correction techniques, providing a complete, but introductory, overview on modern coding/decoding techniques, as well as on the theoretical bases on which they lay. It is meant for master degree students with a background in both probability and communication techniques.
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Channel Capacity and Channel Coding
2013Chapter 5 continues the discussion of Shannon’s information theory as regards channel capacity and channel coding. Simple channel models are introduced and their capacity is computed. It is shown that channel coding needs redundancy and the fundamental theorem of channel coding is stated.
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Coding Techniques for Backscatter Communications—A Contemporary Survey
IEEE Communications Surveys and Tutorials, 2023Fatemeh Rezaei +2 more
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