9780195110098

Modern Digital and Analog Communication Systems

by
  • ISBN13:

    9780195110098

  • ISBN10:

    0195110099

  • Edition: 3rd
  • Format: Hardcover
  • Copyright: 1998-03-26
  • Publisher: Oxford University Press, USA
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Summary

Lathi's trademark user-friendly and highly readable text presents a complete and modern treatment of communication systems. It begins by introducing students to the basics of communication systems without using probabilistic theory. Only after a solid knowledge base--an understanding of howcommunication systems work--has been built are concepts requiring probability theory covered. This third edition has been thoroughly updated and revised to include expanded coverage of digital communications. New topics discussed include spread-spectrum systems, cellular communication systems,global positioning systems (GPS), and an entire chapter on emerging digital technologies (such as SONET, ISDN, BISDN, ATM, and video compression). Ideal for the first communication systems course for electrical engineers, Modern Digital and Analog Communication Systems offers students a superb pedagogical style; it consistently does an excellent job of explaining difficult concepts clearly, using prose as well as mathematics. The authormakes every effort to give intuitive insights--rather than just proofs--as well as heuristic explanations of theoretical results wherever possible. Featuring lucid explanations, well-chosen examples clarifying abstract mathematical results, and excellent illustrations, this unique text is highlyinformative and easily accessible to students.

Table of Contents

PREFACE xi
1 INTRODUCTION
1(13)
Communication System
1(2)
Analog and Digital Messages
3(5)
Signal-to-Noise Ratio, Channel Bandwidth, and the Rate of Communication
8(2)
Modulation
10(2)
Randomness, Redundancy, and Coding
12(2)
2 INTRODUCTION TO SIGNALS
14(57)
2.1 Size of a Signal
14(6)
2.2 Classification of Signals
20(4)
2.3 Some Useful Signal Operations
24(4)
2.4 Unit Impulse Function
28(2)
2.5 Signals and Vectors
30(5)
2.6 Signal Comparison: Correlation
35(5)
2.7 Signal Representation by Orthogonal Signal Set
40(4)
2.8 Trigonometric Fourier Series
44(9)
2.9 Exponential Fourier Series
53(7)
2.10 Numerical Computation of D(n)
60(11)
3 ANALYSIS AND TRANSMISSION OF SIGNALS
71(80)
3.1 Aperiodic Signal Representation by Fourier Integral
71(7)
3.2 Transforms of Some Useful Functions
78(6)
3.3 Some Properties of the Fourier Transform
84(17)
3.4 Signal Transmission through a Linear System
101(5)
3.5 Ideal and Practical Filters
106(4)
3.6 Signal Distortion over a Communication Channel
110(5)
3.7 Signal Energy and Energy Spectral Density
115(8)
3.8 Signal Power and Power Spectral Density
123(7)
3.9 Numerical Computation of Fourier Transform: The DFT
130(21)
4 AMPLITUDE (LINEAR) MODULATION
151(57)
4.1 Baseband and Carrier Communication
151(1)
4.2 Amplitude Modulation: Double Sideband (DSB)
152(10)
4.3 Amplitude Modulation (AM)
162(8)
4.4 Quadrature Amplitude Modulation (QAM)
170(1)
4.5 Amplitude Modulation: Single Sideband (SSB)
171(8)
4.6 Amplitude Modulation: Vestigial Sideband (VSB)
179(4)
4.7 Carrier Acquisition
183(6)
4.8 Superheterodyne AM Receiver
189(2)
4.9 Television
191(17)
5 ANGLE (EXPONENTIAL) MODULATION
208(43)
5.1 Concept of Instantaneous Frequency
208(7)
5.2 Bandwidth of Angle-Modulated Waves
215(14)
5.3 Generation of FM Waves
229(4)
5.4 Demodulation of FM
233(8)
5.5 Interference in Angle-Modulated Systems
241(4)
5.6 FM Receiver
245(6)
6 SAMPLING AND PULSE CODE MODULATION
251(43)
6.1 Sampling Theorem
251(11)
6.2 Pulse-Code Modulation (PCM)
262(16)
6.3 Differential Pulse Code Modulation (DPCM)
278(3)
6.4 Delta Modulation
281(13)
7 PRINCIPLES OF DIGITAL DATA TRANSMISSION
294(60)
7.1 A Digital Communication System
294(3)
7.2 Line Coding
297(13)
7.3 Pulse Shaping
310(9)
7.4 Scrambling
319(3)
7.5 Regenerative Repeater
322(7)
7.6 Detection-Error Probability
329(5)
7.7 M-ary Communication
334(3)
7.8 Digital Carrier Systems
337(5)
7.9 Digital Multiplexing
342(12)
8 EMERGING DIGITAL COMMUNICATIONS TECHNOLOGIES
354(50)
8.1 The North American Hierarchy
354(14)
8.2 Digital Services
368(9)
8.3 Broadband Digital Communication: SONET
377(6)
8.4 Digital Switching Technologies
383(9)
8.5 Broadband Services for Entertainment and Home Office Applications
392(3)
8.6 Video Compression
395(5)
8.7 High-Definition Television (HDTV)
400(4)
9 SOME RECENT DEVELOPMENTS AND MISCELLANEOUS TOPICS
404(30)
9.1 Cellular Telephone (Mobile Radio) System
404(2)
9.2 Spread Spectrum Systems
406(10)
9.3 Transmission Media
416(11)
9.4 Hybrid Circuit: 2-Wire to 4-Wire Conversions
427(3)
9.5 Public Switched Telephone Network
430(4)
10 INTRODUCTION TO THEORY OF PROBABILITY
434(53)
10.1 Concept of Probability
434(11)
10.2 Random Variables
445(18)
10.3 Statistical Averages (Means)
463(9)
10.4 Central-Limit Theorem
472(1)
10.5 Correlation
473(3)
10.6 Linear Mean Square Estimation
476(11)
11 RANDOM PROCESSES
487(45)
11.1 From Random Variable to Random Process
487(9)
11.2 Power Spectral Density of a Random Process
496(13)
11.3 Multiple Random Processes
509(1)
11.4 Transmission of Random Processes through Linear Systems
510(4)
11.5 Bandpass Random Processes
514(8)
11.6 Optimum Filtering: Wiener-Hopf Filter
522(10)
12 BEHAVIOR OF ANALOG SYSTEMS IN THE PRESENCE OF NOISE
532(45)
12.1 Baseband Systems
532(2)
12.2 Amplitude-Modulated Systems
534(7)
12.3 Angle-Modulated Systems
541(16)
12.4 Pulse-Modulated Systems
557(10)
12.5 Optimum Preemphasis-Deemphasis Systems
567(10)
13 BEHAVIOR OF DIGITAL COMMUNICATION SYSTEMS IN THE PRESENCE OF NOISE
577(49)
13.1 Optimum Threshold Detection
577(5)
13.2 General Analysis: Optimum Binary Receiver
582(8)
13.3 Carrier Systems: ASK, FSK, PSK, and DPSK
590(11)
13.4 Performance of Spread Spectrum Systems
601(7)
13.5 M-ary Communication
608(14)
13.6 Synchronization
622(4)
14 OPTIMUM SIGNAL DETECTION
626(53)
14.1 Geometrical Representation of Signals: Signal Space
626(6)
14.2 Gaussian Random Process
632(5)
14.3 Optimum Receiver
637(25)
14.4 Equivalent Signal Sets
662(7)
14.5 Nonwhite (Colored) Channel Noise
669(1)
14.6 Other Useful Performance Criteria
670(9)
15 INTRODUCTION TO INFORMATION THEORY
679(49)
15.1 Measure of Information
679(5)
15.2 Source Encoding
684(6)
15.3 Error-Free Communication over a Noisy Channel
690(3)
15.4 Channel Capacity of a Discrete Memoriless Channel
693(8)
15.5 Channel Capacity of a Continuous Channel
701(16)
15.6 Practical Communication Systems in Light of Shannon's Equation
717(11)
16 ERROR CORRECTING CODES
728(36)
16.1 Introduction
728(3)
16.2 Linear Block Codes
731(6)
16.3 Cyclic Codes
737(8)
16.4 Burst-Error Detecting and Correcting Codes
745(1)
16.5 Interlaced Codes for Burst- and Random-Error Correction
746(1)
16.6 Convolutional Codes
747(8)
16.7 Comparison of Coded and Uncoded Systems
755(9)
APPENDIXES 764(11)
A. Orthogonality of Some Signal Sets 764(2)
B. Schwarz Inequality 766(2)
C. Gram-Schmidt Orthogonalization of a Vector Set 768(3)
D. Miscellaneous 771(4)
INDEX 775

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