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A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.
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Informazioni sugli autori
Mark Kelbert is a Reader in Statistics in the Department of Mathematics at Swansea University. For many years he has also been associated with the Moscow Institute of Information Transmission Problems and the International Institute of Earthquake Prediction Theory and Mathematical Geophysics (Moscow).
Yuri Suhov is a Professor of Applied Probability in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge (Emeritus). He is also affiliated to the University of São Paolo in Brazil and to the Moscow Institute of Information Transmission Problems.
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- EditoreCambridge University Press
- Data di pubblicazione2013
- ISBN 10 0521769353
- ISBN 13 9780521769358
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine526
- Contatto del produttorenon disponibile
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers. Codice articolo 9780521769358
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Information Theory and Coding by Example (Hardcover)
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Cambridge University Press, Cambridge, 2013
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Hardcover. Condizione: new. Hardcover. This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for undergraduate and graduate students, or for researchers and engineers who want to grasp the basic principles. Introducing both the probabilistic and algebraic aspects of the subject, this book provides relevant background material, a wide range of examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for students, or for researchers and engineers who want to grasp the basic principles. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780521769358
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Information Theory and Coding by Example (Hardcover)
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Hardcover. Condizione: new. Hardcover. This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for undergraduate and graduate students, or for researchers and engineers who want to grasp the basic principles. Introducing both the probabilistic and algebraic aspects of the subject, this book provides relevant background material, a wide range of examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for students, or for researchers and engineers who want to grasp the basic principles. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521769358
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introducing both the probabilistic and algebraic aspects of the subject, this book provides relevant background material, a wide range of examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for students, or for rese. Codice articolo 594760035
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