000			02156nam a22003738i 4500
005			20250919090121.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			170308s2014||||enk o ||1 0|eng|d
020			_a9780511762321 (ebook)
020			_z9781107003392 (hardback)
035			_a(UkCbUP)CR9780511762321
039		9	_y03-08-2017 _zhafiz
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTK5102.9 _b.E435 2014
082	0	0	_a621.382/23 _223
100	1		_aEldar, Yonina C., _eauthor.
245	1	0	_aSampling Theory : _bBeyond Bandlimited Systems / _cYonina C. Eldar.
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (836 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 07 Mar 2017).
520			_aCovering the fundamental mathematical underpinnings together with key principles and applications, this book provides a comprehensive guide to the theory and practice of sampling from an engineering perspective. Beginning with traditional ideas such as uniform sampling in shift-invariant spaces and working through to the more recent fields of compressed sensing and sub-Nyquist sampling, the key concepts are addressed in a unified and coherent way. Emphasis is given to applications in signal processing and communications, as well as hardware considerations, throughout. With 200 worked examples and over 200 end-of-chapter problems, this is an ideal course textbook for senior undergraduate and graduate students. It is also an invaluable reference or self-study guide for engineers and students across industry and academia.
650		0	_aSampling (Statistics)
776	0	8	_iPrint version: _z9781107003392
856	4	0	_uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9780511762321
907			_a.b16442611 _b2022-10-31 _c2019-11-12
942			_n0
914			_avtls003618619
998			_anone _b2017-08-03 _cm _da _feng _genk _y0 _z.b16442611
999			_c617477 _d617477