Information and Coding Theory (Springer Undergraduate Mathematics Series)

information and coding theory (springer undergraduate mathematics series)

more information about Information and Coding Theory (Springer Undergraduate Mathematics Series)

Information and Coding Theory (Springer Undergraduate Mathematics Series)

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Book Description
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.

Book Info
Highlights explained proofs and worked examples throughout and exercises with solutions are provided. Assumes some basic probability theory and linear algebra, together with some calculus. For second and third-year undergraduate students in mathematics, electronics, and computer science. Softcover. DLC: Information Theory.

Information and Coding Theory (Springer Undergraduate Mathematics Series),Gareth A. Jones,J.Mary Jones,Springer,1852336226,Applied,Coding Theory,Computers,Information Theory,Mathematics,Programming - Systems Analysis & Design,Science/Mathematics,Coding theory & cryptology,Computers / Information Theory,Mathematics for scientists & engineers

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