Modern Digital and Analog Communications Systems

1. Introduction; 1.1 Communication Systems; 1.2 Analog and Digital Messages; 1.3 The 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 The Unit Impulse Function; 2.5 Signals and Vectors; 2.6 Signal Comparison: Correlation; 2.7 Signal Representation by Orthogonal Signal Set; 2.8 The Trigonometrics Fourier Series; 2.9 The Exponential Fourier Series; 2.10 Numerical Computation of Fourier Coefficients; 3. Analysis and Transmission of Signals; 3.1 Aperiodic Signal Representatin by Fourier Integral; 3.2 Transform of Some Useful Functions; 3.3 Some Properties of the Fourier Transform; 3.4 LTI 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 Spectrcal Density; 3.8 Signal Power and Power Spectral Density; 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: Vestigal Sideband (VSB); 4.7 Carrier Acquisition; 4.8 The Superheterodyne Reciever; 4.9 Television; 5. Angle (Exponential) Modulation; 5.1 The 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 The FM Reciever; 6. Sampling and the Pulse Code Modulation; 6.1 The Sampling Theorem; 6.2 Pulse Code Modulation; 6.3 Differential Pulse Code Modulation (DPCM); 6.4 Delta Modulation; 7. Principles of Digital Data Transmissin; 7.1 A Digital Communication System; 7.2 Line Coding; 7.3 Pulse Shaping; 7.4 Scrambling; 7.5 The 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 Digital Hierarchy; 8.2 Digital Services; 8.3 Broadband Digital Communication: SONET; 8.4 Digital Switching Technologies; 8.5 Broadband 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 The Hybrid Circuit: 2-Wire to 4-Wire Conversion; 9.5 The Public Switched Telephone Network; 10. Introduction to Theory of Probability; 10.1 The Concept of Probability; 10.2 Random Variables; 10.3 Statistical Average (Means); 10.4 The Central Limit Theorem; 10.5 Correlation; 10.6 Linear Mean Square Estimation; 11. Random Proceses; 11.1 From Random Variable to Random Process; 11.2 The Power Spectral Densit 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: The Wiener-Hopf Filter; 11.7 Summary; 12. Behavior of Analog Systems in the Presence of Noise; 12.1 Basband Systems; 12.2 Amplitude-modulated Systems; 12.3 Angle-modulated Systems; 12.4 Pulse-modulated Systems; 12.5 Optimuum Preemphasis-deemphasis Systems; 13. Behavior of Digital Communication Systems in the Presence of Noise; 13.1 Optimum Threshold Detection; 13.2 General anlaysis: The 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: The Signal Space; 14.2 The Gaussian Random Process; 14.3 The Optimum Receiver; 14.4 Equivalent Signal Sets; 14.5 Nonwhite (colored) Channel Noise; 14.6 Other Useful Performance Criteria; 15. An Introduction to Information Theory; 15.1 Measure of Information; 15.2 Source Encoding; 15.3 Error-free Communication over a Noisy Channel; 15.4 The Channel Capacity of a Discrete Memoriless Channel; 15.5 Channel Capacity of a Continuous Channel; 15.6 Practical Communication Systems in the 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 the Trigonometric and Exponential Signal Sets; B. Phase-locked Loop Analysis; C. Schwarz Inequality; D. Gram-Schmidt Orthogonalization of a Vector Set; E. Miscellaneous; INDEX