Results 281 to 290 of about 86,909 (315)
Large language models for human-machine collaborative particle accelerator tuning through natural language. [PDF]
Sci AdvKaiser J, Lauscher A, Eichler A.
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Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records. [PDF]
Front Vet SciWulcan JM +8 more
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PanKB: An interactive microbial pangenome knowledgebase for research, biotechnological innovation, and knowledge mining. [PDF]
Nucleic Acids ResSun B +8 more
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2008 International Symposium on Information Theory and Its Applications, 2008 As implied by previous studies, there exists a fundamental trade-off between the minimum distance and the iterative decoding convergence behavior of a turbo code. While capacity achieving code ensembles typically are asymptotically bad in the sense that their minimum distance does not grow linearly with block length and they therefore exhibit an error ...
Daniel J. Costello +4 more
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IEEE Transactions on Communications, 2005
In this paper, we introduce the concept of nonsystematic turbo codes and compare them with classical systematic turbo codes. Nonsystematic turbo codes can achieve lower error floors than systematic turbo codes because of their superior effective free distance properties.
Banerjee A. +3 more
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In this paper, we introduce the concept of nonsystematic turbo codes and compare them with classical systematic turbo codes. Nonsystematic turbo codes can achieve lower error floors than systematic turbo codes because of their superior effective free distance properties.
Banerjee A. +3 more
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Proceedings. International Symposium on Information Theory, 2005. ISIT 2005., 2005
In this paper we introduce a new coding scheme - so-called laminated turbo codes. It is characterized by a block-convolutional structure that enables us to combine the advantages of a convolutional encoder memory and a block-oriented decoding method. We show that this block-convolutional structure is superior in terms of its error correction capability
Huebner, A. +3 more
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In this paper we introduce a new coding scheme - so-called laminated turbo codes. It is characterized by a block-convolutional structure that enables us to combine the advantages of a convolutional encoder memory and a block-oriented decoding method. We show that this block-convolutional structure is superior in terms of its error correction capability
Huebner, A. +3 more
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1999 Information Theory and Networking Workshop (Cat. No.99EX371), 2003
Random coding applied to blocks of size k offers minimum distances as large as k/4 roughly, but is not decodable in practice. We propose a decodable multidimensional extension of classical two-dimensional turbo codes, giving minimum distances comparable to those of random codes.
Claude Berrou +2 more
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Random coding applied to blocks of size k offers minimum distances as large as k/4 roughly, but is not decodable in practice. We propose a decodable multidimensional extension of classical two-dimensional turbo codes, giving minimum distances comparable to those of random codes.
Claude Berrou +2 more
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Proceedings of MILCOM '95, 2002
We introduce multiple turbo codes and a suitable decoder structure derived from an approximation to the maximum a posteriori probability (MAP) decision rule, which is substantially different from the decoder for two-code-based encoders. We developed new rate 1/3 and 2/3 constituent codes to be used in the turbo encoder structure.
Dariush Divsalar, F. Pollara
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We introduce multiple turbo codes and a suitable decoder structure derived from an approximation to the maximum a posteriori probability (MAP) decision rule, which is substantially different from the decoder for two-code-based encoders. We developed new rate 1/3 and 2/3 constituent codes to be used in the turbo encoder structure.
Dariush Divsalar, F. Pollara
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2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060), 2002
This paper describes a new class of codes, chaotic turbo codes. They were born from a symbiosis between a chaotic digital encoder and a turbo code. This paper investigates the most important properties of both chaotic digital encoders and turbo encoders in order to understand how the two complement each other.
A. Guidi +2 more
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This paper describes a new class of codes, chaotic turbo codes. They were born from a symbiosis between a chaotic digital encoder and a turbo code. This paper investigates the most important properties of both chaotic digital encoders and turbo encoders in order to understand how the two complement each other.
A. Guidi +2 more
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