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Contents:

Summary: Presents the basic and intermediate level treatment of modern digital and analog communication systems. This book first introduces the basics of communication systems without using probabilistic concepts, enabling students to master the probabilistic concepts introduced in later chapters
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 Table of contents

Item type | Location | Collection | Call number | Copy number | Status | Date due |
---|---|---|---|---|---|---|

Text | Reserve Section | Non Fiction | 621.382 LAM 1998 (Browse shelf) | C-1 | Not For Loan | |

Text | Circulation Section | Non Fiction | 621.382 LAM 1998 (Browse shelf) | C-2 | Available |

Includes bibliographical references and index.

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 Table of contents

Presents the basic and intermediate level treatment of modern digital and analog communication systems. This book first introduces the basics of communication systems without using probabilistic concepts, enabling students to master the probabilistic concepts introduced in later chapters

Computer Science & Engineering Electronics & Communications Engineering

Shamima Yeasmin

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Last Update on 12 January 2014East West University

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