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Source coding for dependent sources
2012 IEEE Information Theory Workshop, 2012In this work, we address the capacity region of multi-source multi-terminal network communication problems, and study the change in capacity when one moves form independent to dependent source information. Specifically, we ask whether the trade off between capacity and source independence is of continuous nature.
Michael Langberg, Michelle Effros
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An algorithm for source coding
IEEE Transactions on Information Theory, 1972We derive a simple algorithm for the ranking of binary sequences of length n and weight w . This algorithm is then used for source encoding a memoryless binary source that generates O's with probability q and l's with probability p = 1 - q .
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DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
arXiv.orgWe present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of
DeepSeek-AI+39 more
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IEEE Transactions on Information Theory, 1971
The encoding of a source whose probability distribution varies arbitrarily from letter to letter is considered. The problem is formulated as a two-person statistical game. The exponential rate of growth with block length of the minimum number of codewords needed to achieve a specified fidelity with respect to a single-letter distortion measure is ...
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The encoding of a source whose probability distribution varies arbitrarily from letter to letter is considered. The problem is formulated as a two-person statistical game. The exponential rate of growth with block length of the minimum number of codewords needed to achieve a specified fidelity with respect to a single-letter distortion measure is ...
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2018
This chapter provides the commented and structured source code of the main Maxima file which contains all the written routines.
Andreas Öchsner, Resam Makvandi
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This chapter provides the commented and structured source code of the main Maxima file which contains all the written routines.
Andreas Öchsner, Resam Makvandi
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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 ...
Mao-Ching Chiu+2 more
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Sequential coding of correlated sources
Proceedings of IEEE International Symposium on Information Theory, 2000Summary: We study a generalization of the successive refinement coding problem called the sequential coding of correlated sources. In successive refinement source coding, one first describes the given source using a few bits of information and then subsequently improves the description of the same source when more information is supplied.
Harish Viswanathan, T. Berger
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Source Coding: Part I of Fundamentals of Source and Video Coding
Foundations and Trends® in Signal Processing, 2011Digital media technologies have become an integral part of the way we create, communicate, and consume information. At the core of these technologies are source coding methods that are described in this monograph. Based on the fundamentals of information
T. Wiegand, H. Schwarz
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LDGM codes for joint source-channel coding of correlated sources
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004A 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.
Javier Garcia-Frias, W. Zhong, H. Lou
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