000			02339cam a2200361 a 4500
001			613797
005			20210524103048.0
008			920123s1992 nyua b 001 0 eng
010			_a92003828
020			_a0387978127 (New York : acid-free paper)
020			_a3540978127 (Berlin : acid-free paper)
035			_a(Sirsi) u616
040			_aEG-CaNU _cEG-CaNU _dEG-CaNU
042			_ancode
050	0	0	_aQA268 _b .R65 1992
082	0	0	_a003.54 _2 20
100	1		_aRoman, Steven. _94737
245	1	0	_aCoding and information theory / _c Steven Roman.
260			_aNew York : _b Springer-Verlag, _c c1992.
300			_axvii, 486 p. : _b ill. ; _c 25 cm.
490	0		_aGraduate texts in mathematics ; _v 134
504			_aIncludes bibliographical references (p. [475]-477) and indexes.
505	0		_a1: Entropy. 2: Noisless Coding. 3: Noisy Coding. 4: General Remarks on Codes. 5: Linear Codes. 6: Some Linear Codes. 7: Finite Fields and Cyclic Codes. 8: Some Cyclic Codes.
520			_aThis 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.
630			_aCIT. _914
630			_aEMBA. _911906
630			_aMOT. _911907
650		0	_aCoding theory. _9377
650		0	_aInformation theory. _911908
596			_a1
999			_c5120 _d5120