Algorithms for Communications Systems and Their Applications - Editio

The definitive guide to problem-solving in the design of communications systems
 
In Algorithms for Communications Systems and their Applications, 2nd Edition, authors Benvenuto, Cherubini, and Tomasin have delivered the ultimate and practical guide to applying algorithms in communications systems. Written for researchers and professionals in the areas of digital communications, signal processing, and computer engineering, Algorithms for Communications Systems presents algorithmic and computational procedures within communications systems that overcome a wide range of problems facing system designers.
 
New material in this fully updated edition includes:
* MIMO systems (Space-time block coding/Spatial multiplexing /Beamforming and interference management/Channel Estimation)
* OFDM and SC-FDMA (Synchronization/Resource allocation (bit and power loading)/Filtered OFDM)
* Improved radio channel model (Doppler and shadowing/mmWave)
* Polar codes (including practical decoding methods)
* 5G systems (New Radio architecture/initial access for mmWave/physical channels)
 
The book retains the essential coding and signal processing theoretical and operative elements expected from a classic text, further adopting the new radio of 5G systems as a case study to create the definitive guide to modern communications systems.

Sommario

Preface 3
 
Acknowledgments 3
 
1 Elements of signal theory 7
 
1.1 Continuous-time linear systems 7
 
1.2 Discrete-time linear systems 10
 
Discrete Fourier transform 13
 
The DFT operator 14
 
Circular and linear convolution via DFT 15
 
Convolution by the overlap-save method 17
 
IIR and FIR filters 19
 
1.3 Signal bandwidth 22
 
The sampling theorem 24
 
Heaviside conditions for the absence of signal distortion 26
 
1.4 Passband signals and systems 26
 
Complex representation 26
 
Relation between a signal and its complex representation 28
 
Baseband equivalent of a transformation 36
 
Envelope and instantaneous phase and frequency 37
 
1.5 Second-order analysis of random processes 38
 
1.5.1 Correlation 39
 
Properties of the autocorrelation function 40
 
1.5.2 Power spectral density 40
 
Spectral lines in the PSD 40
 
Cross power spectral density 42
 
Properties of the PSD 42
 
PSD through filtering 43
 
1.5.3 PSD of discrete-time random processes 43
 
Spectral lines in the PSD 44
 
PSD through filtering 45
 
Minimum-phase spectral factorization 46
 
1.5.4 PSD of passband processes 47
 
PSD of in-phase and quadrature components 47
 
Cyclostationary processes 50
 
1.6 The autocorrelation matrix 56
 
Properties 56
 
Eigenvalues 56
 
Other properties 57
 
Eigenvalue analysis for Hermitian matrices 58
 
1.7 Examples of random processes 60
 
1.8 Matched filter 66
 
White noise case 68
 
1.9 Ergodic random processes 69
 
1.9.1 Mean value estimators 71
 
Rectangular window 74
 
Exponential filter 74
 
General window 75
 
1.9.2 Correlation estimators 75
 
Unbiased estimate 76
 
Biased estimate 76
 
1.9.3 Power spectral density estimators 77
 
Periodogram or instantaneous spectrum 77
 
Welch periodogram 78
 
Blackman and Tukey correlogram 79
 
Windowing and window closing 79
 
1.10 Parametric models of random processes 82
 
ARMA 82
 
MA 84
 
AR 84
 
Spectral factorization of AR models 87
 
Whitening filter 87
 
Relation between ARMA, MA, and AR models 87
 
1.10.1 Autocorrelation of AR processes 89
 
1.10.2 Spectral estimation of an AR process 91
 
Some useful relations 92
 
AR model of sinusoidal processes 94
 
1.11 Guide to the bibliography 95
 
Bibliography 95
 
Appendixes 97
 
1.A Multirate systems 98
 
1.A.1 Fundamentals 98
 
1.A.2 Decimation 100
 
1.A.3 Interpolation 102
 
1.A.4 Decimator filter 104
 
1.A.5 Interpolator filter 105
 
1.A.6 Rate conversion 108
 
1.A.7 Time interpolation 109
 
Linear interpolation 110
 
Quadratic interpolation 112
 
1.A.8 The noble identities 112
 
1.A.9 The polyphase representation 113
 
Efficient implementations 114
 
1.B Generation of a complex Gaussian noise 121
 
1.C Pseudo-noise sequences 122
 
Maximal-length 122
 
CAZAC 124
 
Gold 125
 
2 The Wiener filter 129
 
2.1 The Wiener filter 129
 
Matrix formulation 130
 
Optimum filter design 132
 
The principle of orthogonality 134
 
Expression of the minimum mean-square error 135
 
Characterization of the cost function surface 136
 
The Wi

Info autore

Nevio Benvenuto, Professor, DEI-Telecommunications Group, University of Padua, Italy. Nevio received his Ph.D. in engineering from the University of Massachusetts, Amherst, in 1983.
Giovanni Cherubini, IBM Research Zurich, Switzerland. Giovanni Cherubini received M.S. and Ph.D. degrees from the University of California, San Diego, in 1984 and 1986, respectively, all in Electrical Engineering.
Stefano Tomasin, Associate Professor, Department of Information Engineering, University of Padova, Italy. Stefano received the Ph.D. degree in Telecommunications Engineering from the University of Padova, Italy, in 2003.

Riassunto

The definitive guide to problem-solving in the design of communications systems

In Algorithms for Communications Systems and their Applications, 2nd Edition, authors Benvenuto, Cherubini, and Tomasin have delivered the ultimate and practical guide to applying algorithms in communications systems. Written for researchers and professionals in the areas of digital communications, signal processing, and computer engineering, Algorithms for Communications Systems presents algorithmic and computational procedures within communications systems that overcome a wide range of problems facing system designers.

New material in this fully updated edition includes:
* MIMO systems (Space-time block coding/Spatial multiplexing /Beamforming and interference management/Channel Estimation)
* OFDM and SC-FDMA (Synchronization/Resource allocation (bit and power loading)/Filtered OFDM)
* Improved radio channel model (Doppler and shadowing/mmWave)
* Polar codes (including practical decoding methods)
* 5G systems (New Radio architecture/initial access for mmWave/physical channels)

The book retains the essential coding and signal processing theoretical and operative elements expected from a classic text, further adopting the new radio of 5G systems as a case study to create the definitive guide to modern communications systems.

Dettagli sul prodotto

• Autori: Bice Benvenuto, N Benvenuto, Nevio Benvenuto, Nevio (University of Padova Benvenuto, Nevio Cherubini Benvenuto, Benvenuto Nevio, Giovanni Cherubini, Cherubini Giovanni, Stef Tomasin, Stefano Tomasin, Tomasin Stefano
• Editore: Wiley, John and Sons Ltd
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 31.08.2020
• EAN: 9781119567967
• ISBN: 978-1-119-56796-7
• Pagine: 960
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni; kommunikationstechnik, Kommunikationsnetze, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Communication Technology, Communication Technology - Networks, Numerische Methoden u. Algorithmen, Numerical Methods & Algorithms, Kommunikationsnetz