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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 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: 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

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