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Modern Digital And Analog Communication Systems 4th edition [Kõva köide]

  • Formaat: Hardback, 832 pages, kaal: 1996 g, Figures; Tables, black and white
  • Ilmumisaeg: 23-Jan-2009
  • Kirjastus: Oxford University Press Inc
  • ISBN-10: 0195331451
  • ISBN-13: 9780195331455
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  • Formaat: Hardback, 832 pages, kaal: 1996 g, Figures; Tables, black and white
  • Ilmumisaeg: 23-Jan-2009
  • Kirjastus: Oxford University Press Inc
  • ISBN-10: 0195331451
  • ISBN-13: 9780195331455
An ideal first text on communication systems in electrical engineering, Modern Digital and Analog Communication Systems is now in its fourth edition. Retaining the superb pedagogical style of the first three editions, the authors first introduce the fundamentals of signals and systems and core communication topics; they then present the tools essential to the design and analysis of digital communications. Featuring a seamless blend of mathematics and heuristics, carefully crafted examples to clarify mathematical abstractions, and new and updated MATLAB exercises, this text provides a thorough coverage of modern communication system theory and application that is easily accessible to students.

Modern Digital and Analog Communication Systems is suitable for students with or without prior knowledge of probability theory. Only after laying a solid foundation in how communication systems work do the authors delve into analyses of communication systems that require probability theory and random processes. Revised, expanded, and updated throughout, the fourth edition reflects the many technological advances in the field, such as OFDM and CDMA, pervasive communication applications such as cellular systems, wireless LAN systems, and DSL modem technology services.

New to this Edition

* New discussion of technological advances and applications
* New chapters (12 and 13) on spread spectrum communications and frequency selective channels and OFDM systems
* New and updated MATLAB examples
* New material on such topics as code division multiple-access (CDMA), orthogonal frequency division multiplexing (OFDM), equalization, soft decoding, turbo codes, and low-density parity check (LDPC) codes

Features

* Flexible organization (outlined in the preface) that accommodates a variety of course structures, including one-semester, two-semester, one-quarter, and two-quarter
* Accessible to students with no background in probability theory
* Abundant real-world examples that are applicable to students' everyday lives
* Gives intuitive insights--rather than just proofs--wherever possible, as well as heuristic explanations of theoretical results
Preface xv
Introduction
1(19)
Communication Systems
1(3)
Analog and Digital Messages
4(5)
Channel Effect, Signal-to-Noise Ratio, and Capacity
9(2)
Modulation and Detection
11(2)
Digital Source Coding and Error Correction Coding
13(2)
A Brief Historical Review of Modern Telecommunications
15(5)
Signals and Signal Space
20(71)
Size of a Signal
20(5)
Classification of Signals
25(3)
Some Useful Signal Operations
28(4)
Unit Impulse Signal
32(2)
Signals Versus Vectors
34(7)
Correlation of Signals
41(6)
Orthogonal Signal Sets
47(4)
Trigonometric Fourier Series
51(10)
The Exponential Fourier Series
61(8)
Matlab Exercises
69(22)
Analysis and Transmission of Signals
91(87)
Aperiodic Signal Representation by Fourier Integral
91(8)
Transforms of Some Useful Functions
99(7)
Some Properties of the Fourier Transform
106(17)
Signal Transmission Through A Linear System
123(6)
Ideal Versus Practical Filters
129(4)
Signal Distortion Over A Communication Channel
133(6)
Signal Energy and Energy Spectral Density
139(9)
Signal Power and Power Spectral Density
148(7)
Numerical Computation of Fourier Transform: The DFT
155(5)
Matlab Exercises
160(18)
Amplitude Modulations and Demodulations
178(74)
Baseband Versus Carrier Communications
178(2)
Double-Sideband Amplitude Modulation
180(10)
Amplitude Modulation (AM)
190(7)
Bandwidth-Efficient Amplitude Modulations
197(9)
Amplitude Modulations: Vestigial Sideband (VSB)
206(4)
Local Carrier Synchronization
210(1)
Frequency Division Multiplexing (FDM)
211(1)
Phase-Locked Loop and Applications
212(8)
Ntsc Television Broadcasting System
220(10)
Matlab Exercises
230(22)
Angle Modulation and Demodulation
252(50)
Nonlinear Modulation
252(7)
Bandwidth of Angle-Modulated Waves
259(13)
Generating FM Waves
272(9)
Demodulation of FM Signals
281(3)
Effects of Nonlinear Distortion and Interference
284(5)
Superheterodyne Analog AM/FM Receivers
289(2)
FM Broadcasting System
291(1)
Matlab Exercises
292(10)
Sampling and Analog-to-Digital Conversion
302(75)
Sampling Theorem
302(17)
Pulse Code Modulation (PCM)
319(13)
Digital Telephony: PCM in T1 Carrier Systems
332(4)
Digital Multiplexing
336(5)
Differential Pulse Code Modulation (Dpcm)
341(4)
Adaptive Differential PCM (Adpcm)
345(1)
Delta Modulation
346(5)
Vocoders and Video Compression
351(10)
Matlab Exercises
361(16)
Principles of Digital Data Transmission
377(70)
Digital Communication Systems
377(3)
Line Coding
380(14)
Pulse Shaping
394(12)
Scrambling
406(3)
Digital Receivers and Regenerative Repeaters
409(8)
Eye Diagrams: An Important Tool
417(3)
Pam: M-ary Baseband Signaling for Higher Data Rate
420(3)
Digital Carrier Systems
423(8)
M-ary Digital Carrier Modulation
431(6)
Matlab Exercises
437(10)
Fundamentals of Probability Theory
447(64)
Concept of Probability
447(15)
Random Variables
462(19)
Statistical Averages (Means)
481(9)
Correlation
490(4)
Linear Mean Square Estimation
494(3)
Sum of Random Variables
497(3)
Central Limit Theorem
500(11)
Random Processes and Spectral Analysis
511(53)
From Random Variable to Random Process
511(5)
Classification of Random Processes
516(4)
Power Spectral Density
520(14)
Multiple Random Processes
534(1)
Transmission of Random Processes Through Linear Systems
535(4)
Application: Optimum Filtering (Wiener-Hopf Filter)
539(3)
Application: Performance Analysis of Baseband Analog Systems
542(2)
Application: Optimum Preemphasis-Deemphasis Systems
544(3)
Bandpass Random Processes
547(17)
Performance Analysis of Modulated Communication Systems Under Noise
564(41)
Analytical Figure of Merit
564(1)
Amplitude-Modulated Systems
565(9)
Angle-Modulated Systems
574(17)
Pulse-Modulated Systems
591(14)
Performance Analysis of Digital Communication Systems
605(109)
Optimum Linear Detector for Binary Polar Signaling
605(6)
General Binary Signaling
611(8)
Coherent Receivers for Digital Carrier Modulations
619(5)
Signal Space Analysis of Optimum Detection
624(5)
Vector Decomposition of White Noise Random Processes
629(6)
Optimum Receiver for White Gaussian Noise Channels
635(25)
General Expression for Error Probability of Optimum Receivers
660(8)
Equivalent Signal Sets
668(8)
Nonwhite (Colored) Channel Noise
676(1)
Other Useful Performance Criteria
677(3)
Noncoherent Detection
680(8)
Matlab Exercises
688(26)
Spread Spectrum Communications
714(53)
Frequency Hopping Spread Spectrum (Fhss) Systems
714(4)
Multiple Fhss User Systems and Performance
718(3)
Applications of Fhss
721(3)
Direct Sequence Spread Spectrum
724(4)
Resilient Features of Dsss
728(2)
Code Division Multiple-Access (CDMA) of Dsss
730(7)
Multiuser Detection (Mud)
737(6)
Modern Practical DSSS CDMA Systems
743(8)
Matlab Exercises
751(16)
Digital Communications Under Linearly Distortive Channels
767(69)
Linear Distortions of Wireless Multipath Channels
767(4)
Receiver Channel Equalization
771(6)
Linear T-spaced Equalization (TSE)
777(8)
Linear Fractionally Spaced Equalizers (FSE)
785(4)
Channel Estimation
789(1)
Decision Feedback Equalizer
790(3)
OFDM (Multicarrier) Communications
793(10)
Discrete Multitone (DMT) Modulations
803(5)
Real-Life Applications of OFDM and DMT
808(4)
Blind Equalization and Identification
812(1)
Time-Varying Channel Distortions Due to Mobility
813(3)
Matlab Exercises
816(20)
Introduction to Information Theory
836(71)
Measure of Information
836(5)
Source Encoding
841(6)
Error-Free Communication Over A Noisy Channel
847(3)
Channel Capacity of A Discrete Memoryless Channel
850(8)
Channel Capacity of A Continuous Memoryless Channel
858(17)
Practical Communication Systems in Light of Shannon's Equation
875(5)
Frequency-Selective Channel Capacity
880(4)
Multiple-Input-Multiple-Output Communication Systems
884(9)
Matlab Exercises
893(14)
Error Correcting Codes
907(71)
Overview
907(1)
Redundancy for Error Correction
908(3)
Linear Block Codes
911(7)
Cyclic Codes
918(9)
The Effects of Error Correction
927(5)
Convolutional Codes
932(10)
Trellis Diagram of Block Codes
942(2)
Code Combining and Interleaving
944(2)
Soft Decoding
946(3)
Soft-Output Viterbi Algorithm (SOVA)
949(2)
Turbo Codes
951(8)
Low-Density Parity Check (LDPC) Codes
959(7)
Matlab Exercises
966(12)
A ORTHOGONALITY OF SOME SIGNAL SETS
978(2)
Orthogonality of the Trigonometric and Exponential Signal Set
978(1)
Orthogonality of the Exponential Signal Set
979(1)
B Cauchy-Schwarz Inequality
980(2)
C Gram-Schmidt Orthogonalization of a Vector Set
982(3)
D Basic Matrix Properties and Operations
985(5)
Notations
985(1)
Matrix Product and Properties
986(1)
Identity and Diagonal Matrices
987(1)
Determinant of Square Matrices
987(1)
Trace
988(1)
Eigendecomposition
988(1)
Special Hermitian Square Matrices
989(1)
E Miscellaneous
990(5)
L'HoCpital's Rule
990(1)
Taylor and Maclaurin Series
990(1)
Power Series
990(1)
Sums
991(1)
Complex Numbers
991(1)
Trigonometric Identities
991(1)
Indefinite Integrals
992(3)
Index 995