1.
INTRODUCTION
1.1.
Communication Systems
1.2.
Analog and Digital Messages
1.3.
Signal-to-Noise Ratio, the Channel Bandwidth, and the Rate of Communication
1.4.
Modulation
1.5.
Randomness, Redundancy, and Coding
2.
INTRODUCTION TO SIGNALS
2.1.
Size of a Signal
2.2.
Classification of Signals
2.3.
Some Useful Signal Operations
2.4.
Unit Impulse Function
2.5.
Signals and Vectors
2.6.
Signal Comparison: Correlation
2.7.
Signal Representation by Orthogonal Signal Set
2.8.
Trigonometric Fourier Series
2.9.
Exponential Fourier Series
2.10.
Numerical Computation of Dn
3.
ANALYSIS AND TRANSMISSION OF SIGNALS
3.1.
Aperiodic Signal Representatin by Fourier Integral
3.2.
Transforms of Some Useful Functions
3.3.
Some Properties of the Fourier Transform
3.4.
Signal Transmission through a Linear System
3.5.
Ideal and Practical Filters
3.6.
Signal Distortion over a Communication Channel
3.7.
Signal Energy and Energy Spectral Density
3.8.
Signal Power and Power Spectral Density
3.9 Numerical Computation of the Fourier Transform: The DFT.
4.
AMPLITUDE (LINEAR) MODULATION
4.1.
Baseband and Carrier Communication
4.2.
Amplitude Modulation: Double Standard (DSB)
4.3.
Amplitude Moudulation (AM)
4.4.
Quadrature Amplitude Modulation (QAM)
4.5.
Amplitude Modulation: Single Sideband (SSB)
4.6.
Amplitude Modulation: Vestigial Sideband (VSB)
4.7.
Carrier Acquisition
4.8.
Superheterodyne AM Receiver
4.9.
Television
5.
ANGLE (EXPONENTIAL) MODULATION
5.1.
Concept of Instantaneous Frequency
5.2.
Bandwidth of Angle-Modulated Wave
5.3.
Generation of FM Waves
5.4.
Demodulation of FM
5.5.
Interference in Angle-Modulated Systems
5.6.
FM Receiver
6.
SAMPLING AND THE PULSE CODE MODULATION
6.1.
Sampling Theorem
6.2.
Pulse-Code Modulation
6.3.
Differential Pulse Code Modulation (DPCM)
6.4.
Delta Modulation
7.
PRINCIPLES OF DIGITAL DATA TRANSMISSION
7.1.
A Digital Communication System
7.2.
Line Coding
7.3.
Pulse Shaping
7.4.
Scrambling
7.5.
Regenerative Repeater
7.6.
Detection-Error Probability
7.7.
M
-ary Communication
7.8.
Digital Carrier Systems
7.9.
Digital Multiplexing
8.
EMERGING DIGITAL COMMUNICATION TECHNOLOGIES
8.1.
The North American Hierarchy
8.2.
Digital Services
8.3.
Broadband Digital Communication: SONET
8.4.
Digital Switching Technologies
8.5.
Broadband Services for Entertainment and Home Office Applications
8.6.
Video Compression
8.7.
High Definition Television (HDTV)
9.
SOME RECENT DEVELOPMENTS AND MISCELLANEOUS TOPICS
9.1.
Cellular Telephone (Mobile Radio) System
9.2.
Spread Spectrum Systems
9.3.
Transmission Media
9.4.
Hybrid Circuit: 2-Wire to 4-Wire Conversion
9.5.
Public Switched Telephone Network
10.
INTRODUCTION TO THEORY OF PROBABILITY
10.1.
Concept of Probability
10.2.
Random Variables
10.3.
Statistical Average (Means)
10.4.
Central Limit Theorem
10.5.
Correlation
10.6.
Linear Mean Square Estimation
11.
RANDOM PROCESSES
11.1.
From Random Variable to Random Process
11.2.
Power Spectral Density of a Random Process
11.3.
Multiple Random Processes
11.4.
Transmission of Random Processes through Linear Systems
11.5.
Bandpass Random Processes
11.6.
Optimum Filtering: Wiener-Hopf Filter
12.
BEHAVIOR OF ANALOG SYSTEMS IN THE PRESENCE OF NOISE
12.1.
Baseband Systems
12.2.
Amplitude-Modulated Systems
12.3.
Angle-Modulated Systems
12.4.
Pulse-Modulated Systems
12.5.
Optimum Preemphasis-Deemphasis Systems
13.
BEHAVIOR OF DIGITAL COMMUNICATION SYSTEMS IN THE PRESENCE OF NOISE
13.1.
Optimum Threshold Detection
13.2.
General Analysis: Optimum Binary Receiver
13.3.
Carrier Systems: ASK, FSK, PSK, and DPSK
13.4.
Performance of Spread Speactrum Systems
13.5.
M
-ary Communication
13.6.
Synchronization
14.
OPTIMUM SIGNAL DETECTION
14.1.
Geometrical Representation of Signals: Signal Space
14.2.
Gaussian Random Process
14.3.
Optimum Receiver
14.4.
Equivalent Signal Sets
14.5.
Nonwhite (Colored) Channel Noise
14.6.
Other Useful Performance Criteria
15.
INTRODUCTION TO INFORMATION THEORY
15.1.
Measure of Information
15.2.
Source Encoding
15.3.
Error-Free Communication over a Noisy Channel
15.4.
Channel Capacity of a Discrete Memoriless Channel
15.5.
Channel Capacity of a Continuous Channel
15.6.
Practical Communication Systems in Light of Shannon's Equation
16.
ERROR CORRECTING CODES
16.1.
Introduction
16.2.
Linear Block Codes
16.3.
Cyclic Codes
16.4.
Burst-Error-Detecting and Correcting Codes
16.5.
Interlaced Codes for Burst-and Random-Error Correction
16.6.
Convolutional Codes
16.7.
Comparison of Coded and Uncoded Systems
Appendices
A.
Orthogonality of Some Signal Sets
B.
Schwarz Inequality
C.
Gram-Schmidt Orthogonalization of a Vector Set
D.
Miscellaneous
Index
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