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Claude Berrou : ウィキペディア英語版 | Claude Berrou Claude Berrou (; born September 23, 1951, Penmarch) is a French professor in electrical engineering at École Nationale Supérieure des Télécommunications de Bretagne, now Telecom-Bretagne. He is the sole inventor of a groundbreaking quasi-optimal error-correcting coding scheme called Turbo codes as evidenced by the sole inventorship credit given on the fundamental patent for turbo codes. The original patent filing for turbo codes issued in the US as (US Patent 5,446,747 ). A 1993 paper entitled "''Near Shannon Limit Error-correcting Coding and Decoding: Turbo-codes''" published in the Proceedings of IEEE International Communications Conference was the first public disclosure of turbo codes. This 1993 paper listed three authors because it was formed from three separate submissions that were combined due to space constraints. The three authors listed on the 1993 paper are: Berrou, Glavieux, and Thitimajshima. Because the 1993 paper was the first public introduction of turbo codes (patents remain unpublished until issued), coinventorship credit for the discovery to turbo code is often erroneously given to Glavieux and/or Thitimajshima. While Berrou and Glavieux did go on to do supplemental work on turbo codes, the original development of turbo codes was performed by Berrou alone. == Key research activities == His current research activities are now concentrated on the application and extension of the ''Turbo'' technology in various domains, including his research on ''Artificial thinking'', because the Turbo-decoding has been recognized as a new instance of the very general principle of Belief propagation; one application of this principle has been invented for the decoding of Low-density parity-check codes (LDPC codes also known as ''Gallager codes'', in honor of Robert G. Gallager, who developed the LDPC concept in his doctoral dissertation at MIT in 1960 as a theoretical model whose practical implementation was not widely developed until recently). The ''Turbo'' principle is generalized now by Claude Berrou and his lab team for the processing of various functions such as the demodulation, the detection or the equalization using a network of multiple convolution codes working in parallel with probabilistic feedback. Other subjects of interest include all their possible applications in the field of artificial intelligence, for example with a better understanding of natural biological thinking and memory for the implementation of such model using neural networks for the processing of pulsed signals with software and hardware methods with auto-selected and self-maintained combinations of activation cycles of adjacent neurons.〔La pensée artificielle (The Artificial Thinking), research project paper by Claude Berrou, ENST Bretagne (2008).〕
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