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9780470018224

Communication Systems Fundamentals and Design Methods

by ; ; ;
  • ISBN13:

    9780470018224

  • ISBN10:

    0470018224

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2006-12-15
  • Publisher: WILEY

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Summary

In undergraduate classes on communications it is crucial for the students to acquire a deep and thorough understanding of the system principles, methods of analysis, and design tradeoffs. Communication Systems: Fundamentals and Design Methods provides a rigorous mathematical treatment of modulations, covering well-established analog techniques, such as AM and FM, and the more advanced digital formats, such as QAM and CDMA. Using a probabilistic approach, the analytical evaluation of system performance gives rise to the key concept of 'link budget', showing the role of transmit power, channel bandwidth and receiver noise level. Different systems are then compared on the basis of the above parameters.Key features: Comprehensively covers the basics of communication systems, without overemphasizing new technologies which require a much deeper background Presents a clearly outlined course track, derived from years of teaching experience Enriched by discussions and examples of implementation, and by a wide variety of almost 300 problems, with solutions provided in the companion website Includes coverage of deterministic and random signals, as well as transmission media and devices, passband signals, linear, amplitude, angular, digital and binary modulationThe book is a perfect textbook for undergraduate students on electrical engineering, computer science and telecommunications courses, as well as graduate students, engineers and operators involved in the design and deployment of communication networks.

Author Biography

Nevio Benvenuto received the Laurea degree in 1976 from the University of Padova, Italy and his PhD from the University of Massachusetts, Amherst in 1983. From 1983-85, he worked at AT &T Bell Laboratories, Holmdel, NJ, focusing on signal analysis problems. He spent the next three years alternating between a research post in communications systems at the University of Padova and his post as a visiting professor at Bell Laboratories. From 1987-1990, he held a research post at the University of Ancona, before joining the University of L’Aquila in 1994. Currently, he is Professor in the Electrical Engineering Department at the University of Padova. 

Roberto Corvaja, Tomaso Erseghe and Nicola Laurenti are Assistant Professors, Dept. of Information Engineering, University of Padova, Italy.

Table of Contents

Preface xiii
Acknowledgments xv
Acronyms xvii
Symbols xxi
Introduction xxv
Preliminaries on Deterministic and Random Signals
1(112)
Time and frequency domain representation
1(13)
Continuous time signals
1(8)
Frequency domain representation for periodic signals
9(2)
Discrete time signals
11(3)
Energy and power
14(7)
Energy and energy spectral density
14(3)
Instantaneous and average power
17(4)
Systems and transformations
21(8)
Properties of a system
21(1)
Filters
22(3)
Sampling
25(1)
Interpolation
26(3)
Bandwidth
29(12)
Classification of signals and systems
31(1)
Uncertainty principle
32(1)
Practical definitions of band
32(2)
Heaviside conditions
34(3)
Sampling theorem
37(3)
Nyquist criterion
40(1)
Representation of passband signals
41(15)
Analytic signal
42(5)
Baseband equivalent
47(2)
Baseband equivalent of a transformation
49(2)
Hilbert transform
51(3)
Envelope, instantaneous phase and frequency
54(2)
Random variables and vectors
56(13)
Statistical description of random variables
57(2)
Expectation and statistical power
59(2)
Random vectors
61(4)
Second order description of random vectors, and Gaussian vectors
65(2)
Complex-valued random variables
67(2)
Random processes
69(13)
Definition and properties
70(2)
Stationary and ergodic random processes
72(3)
Second order description of a WSS process
75(4)
Joint second order description of two random processes
79(1)
Second order description of a cyclostationary process
80(2)
Systems with random inputs and outputs
82(31)
Filtering of a WSS random process
82(4)
Filtering of a cyclostationary random process
86(1)
Representation of passband WSS random processes
87(4)
Sampling and interpolation of stationary random processes
91(3)
Appendix: The complementary normalized Gaussian distribution function
94(3)
References and further reading
97(1)
Problems
97(16)
Characterization of Transmission Media and Devices
113(56)
Two-terminal devices
114(10)
Device representation
114(1)
Electrical power
115(2)
Measurement of electrical power
117(1)
Load matching and available power
118(2)
Thermal noise
120(2)
Other sources of noise
122(1)
Noise temperature
123(1)
Equivalent noise models
123(1)
Two-port networks
124(16)
Reference model
124(2)
Network power gain and matched network
126(1)
Power gain in terms of electrical parameters
127(1)
Noise temperature
128(2)
Noise figure
130(3)
Cascade of two-port networks
133(3)
Signal-to-noise ratio
136(4)
Transmission system model
140(6)
Electrical model
140(1)
System model
141(1)
Output signal-to-noise ratio
142(1)
Narrowband channel model
143(1)
Link budget
144(2)
Transmission media
146(23)
Transmission lines and cables
146(6)
Optical fibers
152(5)
Radio links
157(5)
References and further reading
162(1)
Problems
163(6)
Analog Modulation Systems
169(72)
Principle and system model
170(1)
Linear modulation
171(20)
Double side band suppressed carrier (DSB-SC)
173(2)
Single side band (SSB) modulation
175(5)
Vestigial side band (VSB) modulation
180(2)
Quadrature modulation (QM)
182(2)
Implementation issues
184(3)
Performance measure and reference SNR
187(1)
Performance evaluation
188(3)
Amplitude modulation (AM)
191(12)
Parameters
192(3)
Implementation issues
195(4)
Carrier recovery
199(2)
Performance evaluation
201(2)
Phase locked loop (PLL)
203(1)
Angular modulation
204(15)
Phase and frequency modulations
204(4)
Bandwidth
208(1)
Narrowband and wideband FM
209(2)
Demodulation
211(2)
Implementation issues
213(2)
Performance evaluation
215(3)
Pre-emphasis and de-emphasis in FM
218(1)
Comparison of analog modulation systems
219(1)
Frequency division multiplexing -- multiple access
220(1)
Super-heterodyne receiver
221(2)
Examples of application
223(18)
AM radio
223(1)
FM radio
223(1)
FM stereo radio
224(1)
Television signal
225(1)
References and further reading
226(1)
Problems
226(15)
Digital Modulation Systems
241(106)
The space of signals
242(14)
Linear space
242(3)
Signals as elements in a linear space
245(2)
Gram-Schmidt orthonormalization in signal spaces
247(4)
Vector representation of signals
251(4)
Orthogonal projections onto a signal space
255(1)
Digital modulation theory
256(17)
Optimum detection in additive noise channels
256(3)
Statistical characterization of random vectors
259(2)
Optimum decision regions
261(5)
Maximum a posteriori criterion
266(1)
Maximum likelihood criterion
266(1)
Minimum distance criterion
267(1)
Implementation of minimum distance receivers
268(4)
The theorem of irrelevance
272(1)
Binary modulation
273(11)
Error probability
273(5)
Antipodal and orthogonal signals
278(4)
Single filter receivers
282(2)
M-ary modulation
284(8)
Bounds on the error probability
284(5)
Orthogonal and bi-orthogonal modulations
289(3)
The digital modulation system
292(8)
System overview
292(4)
Front-end receiver implementation
296(1)
The binary channel
297(1)
The inner numerical channel
298(2)
Examples of digital modulations
300(29)
Pulse amplitude modulation (PAM)
300(6)
Quadrature amplitude modulation (QAM)
306(10)
Phase shift keying (PSK)
316(6)
Frequency shift keying (FSK)
322(4)
Code division modulation
326(3)
Comparison of digital modulation systems
329(18)
Reference bandwidth and link budget
329(2)
Comparison in terms of performance, bandwidth and spectral efficiency
331(1)
References and further reading
332(1)
Problems
333(14)
Digital Transmission of Analog Signals
347(46)
Digital representation of waveforms
348(22)
Analog to digital converter (ADC)
348(1)
Digital to analog converter (DAC)
349(3)
Quantizer
352(2)
Uniform quantizers
354(2)
Quantization error
356(2)
Quantizer SNR
358(4)
Nonuniform quantizers
362(2)
Companding techniques and SNR
364(6)
Digital transmission of analog signals
370(11)
Transmission through a binary channel
370(1)
Evaluation of the overall SNR
371(3)
Analog versus digital transmission
374(2)
Regenerative and analog repeaters
376(5)
Time division multiplexing (TDM)
381(1)
Examples of application
382(11)
References and further reading
387(1)
Problems
387(6)
Transmission over Dispersive Channels
393(46)
Channel model
393(1)
Baseband digital transmission (PAM systems)
394(5)
Passband digital transmission (QAM systems)
399(5)
Baseband equivalent of QAM systems
403(1)
Analysis of amplitude modulated systems
404(5)
Signals
404(2)
PSD of noise
406(1)
PSD of digital modulated signals
407(2)
Intersymbol interference
409(8)
Nyquist pulses
411(3)
Eye diagram
414(3)
Performance analysis
417(5)
Symbol error probability in the absence of ISI
417(4)
Symbol error probability in the presence of ISI
421(1)
Application examples
422(17)
Line codes
422(3)
Transmission formats
425(4)
Channel
429(1)
Equalization
430(2)
References and further reading
432(1)
Problems
432(7)
Elements of Information Theory, Source and Channel Coding
439(70)
Information and entropy
439(15)
A measure for information
439(2)
Entropy
441(7)
Efficiency and redundancy
448(1)
Information rate of a message
449(1)
Typical sequences
450(4)
Source coding
454(17)
The purpose of source coding
454(1)
Entropy coding
455(3)
Shannon's theorem on source coding
458(4)
Huffman coding
462(3)
Arithmetic coding
465(6)
Channel coding
471(19)
The purpose of channel coding
471(1)
Binary block codes
472(1)
Decoding criteria, and minimum distance decoding
473(6)
Linear codes
479(7)
Cyclic codes
486(2)
Application of channel codes
488(2)
Channel capacity
490(19)
Information rate and capacity of a numerical channel
490(5)
Capacity of the AWGN channel
495(3)
Shannon's theorem on channel coding
498(4)
References and further reading
502(1)
Problems
503(6)
Index 509

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