Paperback. This book provides an elementary introduction to Information Theory and Coding Theory - two related aspects of the problem of how to transmit information efficiently and accurately. The first part of the book focuses on Information Theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon's Fundamental Theorem. In the second part, on Coding Theory, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes.The book emphasises carefully explained proofs and worked examples; exercises (with solutions) are integrated into the text as part of the learning process. Only some basic probability theory and linear algebra, together with a little calculus (as covered in most first-year university syllabuses), is assumed, making it suitable for second- and third-year undergraduates in mathematics, electronics and computer science. Information and coding theory are increasingly popular topics in undergraduate curricula, not only in mathematics but also in computer science and engineering. This book introduces the basic ideas at undergraduate level and considers both topics in one volume. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verk�ufers 9781852336226

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Bibliografische Details

Titel: Information and Coding Theory (Paperback)
Verlag: Springer London Ltd, England
Erscheinungsjahr: 2000
Sprache: Englisch
ISBN-10: 1852336226
ISBN-13: 9781852336226
Einband: Paperback
Zustand: new

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Inhaltsangabe

This text is an elementary introduction to information and coding theory. The first part focuses on information theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon's Fundamental Theorem. In the second part, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes. Contains proofs, worked examples, and exercises.

Rese�a del editor

This text is an elementary introduction to information and coding theory. The first part focuses on information theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon’s Fundamental Theorem. In the second part, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes. Contains proofs, worked examples, and exercises.

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