Noisy-Channel Coding Theorem: Information Theory, Information, Claude Shannon, Forward Error Correction, Data Storage Device, Channel Capacity, Code, Shannon–Hartley Theorem - Couverture souple

 
9786130332051: Noisy-Channel Coding Theorem: Information Theory, Information, Claude Shannon, Forward Error Correction, Data Storage Device, Channel Capacity, Code, Shannon–Hartley Theorem

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In information theory, the noisy-channel coding theorem establishes that however contaminated with noise interference a communication channel may be, it is possible to communicate digital data nearly error-free up to a given maximum rate through the channel. This surprising result, sometimes called the fundamental theorem of information theory, or just Shannon''s theorem, was first presented by Claude Shannon in 1948. The Shannon limit or Shannon capacity of a communications channel is the theoretical maximum information transfer rate of the channel, for a particular noise level.

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Présentation de l'éditeur

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In information theory, the noisy-channel coding theorem establishes that however contaminated with noise interference a communication channel may be, it is possible to communicate digital data nearly error-free up to a given maximum rate through the channel. This surprising result, sometimes called the fundamental theorem of information theory, or just Shannon''s theorem, was first presented by Claude Shannon in 1948. The Shannon limit or Shannon capacity of a communications channel is the theoretical maximum information transfer rate of the channel, for a particular noise level.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.