000			01899nam a22003978i 4500
001			CR9781139028448
005			20250919142040.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110221s2013||||enk o ||1 0|eng|d
020			_a9781139028448 (ebook)
020			_z9780521769358 (hardback)
020			_z9780521139885 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQ360 _b.K45 2013
082	0	0	_a003.54 _223
100	1		_aKelbert, M. _q(Mark), _eauthor.
245	1	0	_aInformation theory and coding by example / _cMark Kelbert, Yuri Suhov.
246	3		_aInformation Theory & Coding by Example
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xi, 514 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aThis 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.
650		0	_aInformation theory.
650		0	_aCoding theory.
700	1		_aSuhov, Yu. M., _eauthor.
776	0	8	_iPrint version: _z9780521769358
856	4	0	_uhttps://doi.org/10.1017/CBO9781139028448
907			_a.b16844154 _b2020-12-22 _c2020-12-22
942			_n0
998			_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16844154
999			_c651759 _d651759