000			02083nam a22003378i 4500
001			CR9781316822708
003			UkCbUP
005			20220711202540.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			160422s2017||||enk o ||1 0|eng|d
020			_a9781316822708 (ebook)
020			_z9781107177321 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050		4	_aTK5103.7 _b.L36 2017
082	0	4	_a621.382 _223
100	1		_aLapidoth, Amos, _eauthor. _94482
245	1	0	_aA foundation in digital communication / _cAmos Lapidoth.
250			_aSecond edition.
264		1	_aCambridge : _bCambridge University Press, _c2017.
300			_a1 online resource (xxviii, 890 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 20 Mar 2017).
520			_aWritten in the intuitive yet rigorous style that readers of A Foundation in Digital Communication have come to expect, this second edition includes entirely new chapters on the radar problem (with Lyapunov's theorem) and intersymbol interference channels, new discussion of the baseband representation of passband noise, and a simpler, more geometric derivation of the optimal receiver for the additive white Gaussian noise channel. Other key topics covered include the definition of the power spectral density of nonstationary stochastic processes, the geometry of the space of energy-limited signals, the isometry properties of the Fourier transform, and complex sampling. Including over 500 homework problems and all the necessary mathematical background, this is the ideal text for one- or two-semester graduate courses on digital communications and courses on stochastic processes and detection theory. Solutions to problems and video lectures are available online.
650		0	_aDigital communications. _94483
776	0	8	_iPrint version: _z9781107177321
856	4	0	_uhttps://doi.org/10.1017/9781316822708
942			_cEBK
999			_c68268 _d68268