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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Data processing inequality ： ウィキペディア英語版 Data processing inequality The Data processing inequality is an information theoretic concept which states that the information content of a signal cannot be increased via a local physical operation. This can be expressed concisely as 'post-processing cannot increase information'. As explained by ''Kinney and Atwal'', the DPI means that information is generally lost (never gained) when transmitted through a noisy channel. ==Example== Let be an Markov chain $X\; \backslash rightarrow\; Y\; \backslash rightarrow\; Z$ Then, $I(x;y)\; \backslash geqslant\; I(x;z)$ with $I(x;y)\; =\; I(x;z)$ if and only if $X\; \backslash rightarrow\; Z\; \backslash rightarrow\; Y$ where $I(x;y)$ is the Mutual information 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Data processing inequality」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.