Digital Communication Systems, An Indian Adaptation
ISBN: 9789354242465
652 pages
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Description
Digital Communication Systems is a comprehensive textbook, focusing on the core principles of digital communications and relating theory to practice. Starting with the background of Fourier analysis, probability theory, and stochastic processes to analyze random signals, the book covers sampling theory, pulse-amplitude modulation, pulse-code modulation, delta modulation, matched filter, intersymbol interference, and adaptive equalization. It then discusses passband digital modulation techniques such as ASK, PSK, FSK, and QAM, followed by multiple access techniques such as FDMA, TDMA, and CDMA. Lastly, it discourses on information theory in detail and various coding schemes to control the occurrences of errors in communication systems.
Chapter 1: Introduction
- Historical Background
- The Communication Process
- Modes of Communication
- Need of Modulation
- Types of Modulation
- Digital versus Analog Communication
- Multiple-Access Techniques
- Networks
- Digital Communication
- Self-Sustainable Modern Communication
- Organization of the Book
Chapter 2: Frequency Analysis And Transmission Of Signals
- Introduction
- Representation of a Signal
- The Fourier Series
- The Fourier Transform
- The Inverse Relationship between Time-Domain and Frequency-Domain Representations
- The Dirac Delta Function
- Fourier Transforms of Periodic Signals
- Correlation of Signals
- Transmission of Signals through Linear Time-Invariant Systems
- Ideal Filters
- Hilbert Transform
- Pre-Envelopes
- Complex Envelopes of Band-Pass Signals
- Canonical Representation of Band-Pass Signals
- Complex Low-Pass Representations of Band-Pass Systems
- Putting the Complex Representations of Band-Pass Signals and Systems All Together
- Linear Modulation Theory
- Superheterodyne Receiver
- Phase and Group Delays
- Exponential (or Angle) Modulation
- Summary and Discussion
Chapter 3: Probability Theory And Random Variables
- Introduction
- Set Theory
- Probability Theory
- Random Variables
- Distribution Functions
- The Concept of Expectation
- Second-Order Statistical Averages
- The Gaussian Distribution
- The Central Limit Theorem
- Functions of One Random Variable
- Functions of Two Random Variables
- Bayesian Inference
- Parameter Estimation
- Hypothesis Testing
- Composite Hypothesis Testing
- Summary and Discussion
Chapter 4: Stochastic Processes
- Introduction
- Mathematical Definition of a Stochastic Process
- Two Classes of Stochastic Processes: Strictly Stationary and Weakly Stationary
- Mean, Correlation, and Covariance Functions of Weakly Stationary Processes
- Ergodic Processes
- Transmission of a Weakly Stationary Process through a Linear Time-Invariant Filter
- Power Spectral Density of a Weakly Stationary Process
- Another Definition of the Power Spectral Density
- Cross-Spectral Densities
- The Poisson Process
- The Gaussian Process
- Noise
- Noise Calculation
- Noise Figure
- Narrowband Noise
- Sine Wave Plus Narrowband Noise
- Summary and Discussion
Chapter 5: Baseband Modulation
- Introduction
- Sampling Theory
- Natural Sampling
- Pulse-Amplitude Modulation
- Pulse-Width and Pulse-Position Modulation
- Quantization and Its Statistical Characterization
- Pulse-Code Modulation
- Noise Considerations in PCM Systems
- Linear Prediction
- Differential Pulse-Code Modulation
- Adaptive Differential Pulse-Code Modulation
- Delta Modulation
- Line Codes
- Time-Division Multiplexing
- Summary and Discussion
Chapter 6: Signaling Over Band-Limited Channels
- Introduction
- Optimum Receiver Filter
- Matched Filter
- Error Rate due to Channel Noise in a Matched Filter Receiver
- Intersymbol Interference
- Signal Design for Zero ISI
- Ideal Nyquist Pulse for Distortionless Baseband Data Transmission
- Raised-Cosine Spectrum
- Correlative-Level Coding
- Post-Processing Techniques: The Eye Pattern
- Optimum Linear Receiver
- Adaptive Equalization
- Summary and Discussion
Chapter 7: Passband Modulation
- Introduction
- Geometric Representation of Signals
- Conversion of the Continuous AWGN Channel into a Vector Channel
- Band-Pass Sampling
- Optimum Receivers Using Coherent Detection
- Probability of Error
- Band-Pass Transmission Model
- Binary Amplitude-Shift Keying Using Coherent Detection
- Phase-Shift Keying Techniques Using Coherent Detection
- M-ary Quadrature Amplitude Modulation
- Frequency-Shift Keying Techniques Using Coherent Detection
- Comparison of M-ary PSK and M-ary FSK from an Information-Theoretic Viewpoint
- Detection of Signals with Unknown Phase
- Noncoherent Orthogonal Modulation Techniques
- Binary Frequency-Shift Keying Using Noncoherent Detection
- Differential Phase-Shift Keying
- BER Comparison of Signaling Schemes over AWGN Channels
- Synchronization
- Summary and Discussion
Chapter 8: Spread Spectrum and Multiuser Communications
- Introduction
- Pseudo-Noise Sequences
- A Notion of Spread Spectrum
- Direct-Sequence Spread Spectrum with Coherent Binary Phase-Shift Keying
- Signal-Space Dimensionality Processing Gain
- Probability of Error
- Frequency-Hop Spread Spectrum
- Code-Division Multiple Access
- Orthogonal Frequency Division Multiplexing
- Satellite Communication
- Radio Link Analysis
- Mobile Radio
- Summary and Discussion
Chapter 9: Information Theory
- Introduction
- Information
- Entropy
- Source-Coding Theorem
- Lossless Data Compression Algorithms
- Discrete Memoryless Channels
- Mutual Information
- Channel Capacity
- Special Channels
- Channel-Coding Theorem
- Differential Entropy and Mutual Information for Continuous Random Ensembles
- Information Capacity Law
- Implications of the Information Capacity Law
- Summary and Discussion
Chapter 10: Error-Control Coding
- Introduction
- Error Control Using Forward Error Correction
- Discrete Memoryless Channels
- Linear Block Codes
- Cyclic Codes
- Convolutional Codes
- Optimum Decoding of Convolutional Codes
- Maximum Likelihood Decoding of Convolutional Codes
- Maximum a Posteriori Probability Decoding of Convolutional Codes
- Turbo Codes
- Low-Density Parity-Check Codes
- Trellis-Coded Modulation
- Turbo Decoding of Serial Concatenated Codes
- Summary and Discussion
Problems
Multiple Choice Questions
Appendix A Advanced Probabilistic Models
Appendix B Bounds on The Q-Function
Appendix C Bessel Functions
Appendix D Method of Lagrange Multipliers
Appendix E Multiple-Input, Multiple-Output Systems
Appendix F Interleaving
Appendix G The Peak-Power Reduction Problem In Of dm
Appendix H Nonlinear Solid-State Power Amplifiers
Appendix I Monte Carlo Integration
Appendix J Mathematical Tables
Glossary
Bibliography
Index
Credits