000			03391nam a22003258i 4500
001			CR9780511981234
003			UkCbUP
005			20200124160249.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101018s2009||||enk o ||1 0|eng|d
020			_a9780511981234 (ebook)
020			_z9780521193955 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTK5103.7 _b.L36 2009
082	0	0	_a621.382 _222
100	1		_aLapidoth, Amos, _eauthor.
245	1	2	_aA foundation in digital communication / _cAmos Lapidoth.
264		1	_aCambridge : _bCambridge University Press, _c2009.
300			_a1 online resource (xxv, 723 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).
505	0		_a1. Some Essential Notation -- 2. Signals, Integrals, and Sets of Measure Zero -- 3. Inner Product -- 4. Space L[subscript 2] of Energy-Limited Signals -- 5. Convolutions and Filters -- 6. Frequency Response of Filters and Bandlimited Signals -- 7. Passband Signals and Their Representation -- 8. Complete Orthonormal Systems and the Sampling Theorem -- 9. Sampling Real Passband Signals -- 10. Mapping Bits to Waveforms -- 11. Nyquist's Criterion -- 12. Stochastic Processes: Definition -- 13. Stationary Discrete-Time Stochastic Processes -- 14. Energy and Power in PAM -- 15. Operational Power Spectral Density -- 16. Quadrature Amplitude Modulation -- 17. Complex Random Variables and Processes -- 18. Energy, Power, and PSD and QAM -- 19. Univariate Gaussian Distribution -- 20. Binary Hypothesis Testing -- 21. Multi-Hypothesis Testing -- 22. Sufficient Statistics -- 23. Multivariate Gaussian Distribution -- 24. Complex Gaussians and Circular Symmetry -- 25. Continuous-Time Stochastic Processes -- 26. Detection in White Gaussian Noise -- 27. Noncoherent Detection and Nuisance Parameters -- 28. Detecting PAM and QAM Signals in White Gaussian Noise -- 29. Linear Binary Block Codes with Antipodal Signaling -- A. On the Fourier Series.
520			_aThis intuitive yet rigorous introduction derives the core results of digital communication from first principles. Theory, rather than industry standards, motivates the engineering approaches, and key results are stated with all the required assumptions. The book emphasizes the geometric view, opening with the inner product, the matched filter for its computation, Parseval's theorem, the sampling theorem as an orthonormal expansion, the isometry between passband signals and their baseband representation, and the spectral-efficiency optimality of quadrature amplitude modulation (QAM). Subsequent chapters address noise, hypothesis testing, Gaussian stochastic processes, and the sufficiency of the matched filter outputs. Uniquely, there is a treatment of white noise without generalized functions, and of the power spectral density without artificial random jitters and random phases in the analysis of QAM. This systematic and insightful book, with over 300 exercises, is ideal for graduate courses in digital communication, and for anyone asking 'why' and not just 'how'.
650		0	_aDigital communications.
776	0	8	_iPrint version: _z9780521193955
856	4	0	_uhttps://doi.org/10.1017/CBO9780511981234
999			_c519343 _d519341