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Noisy-Channel Coding Theorem: Information Theory, Information, Claude Shannon, Forward Error Correction, Data Storage Device, Channel Capacity, Code, Shannon-Hartley Theorem - Softcover
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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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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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Noisy-Channel Coding Theorem
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VDM Verlag Dr. Müller E.K. Jan 2010, 2010
ISBN 10: 613033205X
ISBN 13: 9786130332051
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! 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. Englisch. Seller Inventory # 9786130332051
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Noisy-Channel Coding Theorem : Information Theory, Information, Claude Shannon, Forward Error Correction, Data Storage Device, Channel Capacity, Code, Shannon-Hartley Theorem
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! 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. Seller Inventory # 9786130332051
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Noisy-Channel Coding Theorem | Information Theory, Information, Claude Shannon, Forward Error Correction, Data Storage Device, Channel Capacity, Code, Shannon-Hartley Theorem
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Taschenbuch. Condition: Neu. Noisy-Channel Coding Theorem | Information Theory, Information, Claude Shannon, Forward Error Correction, Data Storage Device, Channel Capacity, Code, Shannon-Hartley Theorem | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130332051 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 101387453