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Handbook of differential entropy /

One of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the discrete case, it is a more complex measure that often requires a more careful treatment. Handbook of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bucholtz, Frank (Autor), Michalowicz, Joseph Victor, 1941- (Autor), Nichols, Jonathan Michael (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, [2014]
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Bucholtz, Frank,  |e author. 
245 1 0 |a Handbook of differential entropy /  |c Joseph Victor Michalowicz, Jonathan M. Nichols, Frank Bucholtz. 
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504 |a Includes bibliographical references (pages 217-220) and index. 
505 0 |a 1. Probability in brief -- 2. The concept of entropy -- 3. Entropy for discrete probability distributions -- 4. Differential entropies for probability distributions -- 5. Differential entropy as a function of variance -- 6. Applications of differential entropy -- 7. Appendices. 
520 |a One of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the discrete case, it is a more complex measure that often requires a more careful treatment. Handbook of Differential Entropy provides a comprehensive introduction to the subject for researchers and students in information theory. Unlike related books, this one brings together background material, derivations, and applications of differential entropy. The handbook first reviews probability theory as it e. 
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650 0 |a Entropy. 
650 0 |a Mathematical physics. 
650 6 |a Entropie. 
650 6 |a Physique mathématique. 
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