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Digital Communication Systems, An Indian Adaptation

Simon Haykin

ISBN: 9789354242465

652 pages

INR 949

For more information write to us at: acadmktg@wiley.com

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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.               

About the Author

Simon Haykin is a University Professor at McMaster University, Hamilton, Ontario, Canada. His research interests include nonlinear dynamics, neural networks and adaptive filters and their applications in radar and communications systems. Dr. Haykin is the editor for a series of books on "Adaptive and Learning Systems for Signal Processing, Communications and Control" published by John Wiley & Sons

 

Chapter 1: Introduction

    1. Historical Background
    2. The Communication Process
    3. Modes of Communication
    4. Need of Modulation
    5. Types of Modulation
    6. Digital versus Analog Communication
    7. Multiple-Access Techniques
    8. Networks
    9. Digital Communication
    10. Self-Sustainable Modern Communication
    11. Organization of the Book

 

Chapter 2: Frequency Analysis And Transmission Of Signals

  1. Introduction
  2. Representation of a Signal
  3. The Fourier Series
  4. The Fourier Transform
  5. The Inverse Relationship between Time-Domain and Frequency-Domain Representations
  6. The Dirac Delta Function
  7. Fourier Transforms of Periodic Signals
  8. Correlation of Signals
  9. Transmission of Signals through Linear Time-Invariant Systems
  10. Ideal Filters
  11. Hilbert Transform
  12. Pre-Envelopes
  13. Complex Envelopes of Band-Pass Signals
  14. Canonical Representation of Band-Pass Signals
  15. Complex Low-Pass Representations of Band-Pass Systems
  16. Putting the Complex Representations of Band-Pass Signals and Systems All Together
  17. Linear Modulation Theory
  18. Superheterodyne Receiver
  19. Phase and Group Delays
  20. Exponential (or Angle) Modulation
  21. Summary and Discussion

 

Chapter 3: Probability Theory And Random Variables

    1. Introduction
    2. Set Theory
    3. Probability Theory
    4. Random Variables
    5. Distribution Functions
    6. The Concept of Expectation
    7. Second-Order Statistical Averages
    8. The Gaussian Distribution
    9. The Central Limit Theorem
    10. Functions of One Random Variable
    11. Functions of Two Random Variables
    12. Bayesian Inference
    13. Parameter Estimation
    14. Hypothesis Testing
    15. Composite Hypothesis Testing
    16. Summary and Discussion

 

Chapter 4: Stochastic Processes

  1. Introduction
  2. Mathematical Definition of a Stochastic Process
  3. Two Classes of Stochastic Processes: Strictly Stationary and Weakly Stationary     
  4. Mean, Correlation
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