Communication Systems

Höfundur Simon Haykin; Michael Moher

Útgefandi Wiley Global Education US

Snið Page Fidelity

Print ISBN 9780471697909

Útgáfa 5

Útgáfuár 2009

6.890 kr.

Description

Efnisyfirlit

  • Title Page
  • Copyright
  • Preface
  • Contents
  • Chapter 1: Introduction
  • 1.1 The Communication Process
  • 1.2 The Layered Approach
  • 1.3 Theme Example–Wireless Communications
  • Notes and References
  • Chapter 2: Representation of Signals and Systems
  • 2.1 Introduction
  • 2.2 The Fourier Transform
  • 2.3 Properties of the Fourier Transform
  • 2.4 The Inverse Relationship Between Time and Frequency
  • 2.5 Dirac Delta Function
  • 2.6 Fourier Transforms of Periodic Signals
  • 2.7 Transmission of Signals Through Linear Systems
  • 2.8 Filters
  • 2.9 Low-Pass and Band-Pass Signals
  • 2.10 Band-Pass Systems
  • 2.11 Phase and Group Delay
  • 2.12 Sources of Information
  • 2.13 Numerical Computation of the Fourier Transform
  • 2.14 Theme Example—Channel Estimation of a Wireless LAN Channel
  • 2.15 Summary and Discussion
  • Notes and References
  • Chapter 3: Amplitude Modulation
  • 3.1 Introduction
  • 3.2 Amplitude Modulation
  • 3.3 Double Sideband-Suppressed Carrier Modulation
  • 3.4 Quadrature-Carrier Multiplexing
  • 3.5 Single-Sideband and Vestigial-Sideband Methods of Modulation
  • 3.6 Theme Example—VSB Transmission of Analog and Digital Television
  • 3.7 Frequency Translation
  • 3.8 Frequency-Division Multiplexing
  • 3.9 Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 4: Angle Modulation
  • 4.1 Introduction
  • 4.2 Basic Definitions
  • 4.3 Frequency Modulation
  • 4.4 Phase-Locked Loop
  • 4.5 Nonlinear Effects in FM Systems
  • 4.6 The Superheterodyne Receiver
  • 4.7 Theme Example–Analog and Digital FM Cellular Telephones
  • 4.8 Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 5: Probability Theory and Random Processes
  • 5.1 Introduction
  • 5.2 Probability
  • 5.3 Random Variables
  • 5.4 Statistical Averages
  • 5.5 Random Processes
  • 5.6 Mean, Correlation, and Covariance Functions
  • 5.7 Transmission of a Random Process Through a Linear Filter
  • 5.8 Power Spectral Density
  • 5.9 Gaussian Process
  • 5.10 Noise
  • 5.11 Narrowband Noise
  • 5.12 Theme Example—Stochastic Model of a Mobile Radio Channel
  • 5.13 Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 6: Noise in CW Modulation Systems
  • 6.1 Introduction
  • 6.2 Receiver Model
  • 6.3 Noise in DSB–SC Receivers
  • 6.4 Noise in AM Receivers
  • 6.5 Noise in FM Receivers
  • 6.6 Pre-emphasis and De-emphasis in FM
  • 6.7 Theme Example—Link Budget of FM Satellite Link
  • 6.8 Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 7: The Transition from Analog to Digital
  • 7.1 Introduction
  • 7.2 Why Digitize Analog Sources?
  • 7.3 The Sampling Process
  • 7.4 Pulse-Amplitude Modulation
  • 7.5 Time-Division Multiplexing
  • 7.6 Pulse-Position Modulation
  • 7.7 Theme Example—PPM in Impulse Radio
  • 7.8 The Quantization Process
  • 7.9 Pulse-Code Modulation
  • 7.10 Delta Modulation
  • 7.11 Theme Example—Digitization of Video and MPEG
  • 7.12 Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 8: Baseband Digital Transmission
  • 8.1 Introduction
  • 8.2 Baseband Pulses and Matched Filter Detection
  • 8.3 Probability of Error Due to Noise
  • 8.4 Intersymbol Interference
  • 8.5 Eye Pattern
  • 8.6 Nyquist’s Criterion for Distortionless Transmission
  • 8.7 Baseband M-ary PAM Transmission
  • 8.8 Tapped-Delay-Line Equalization
  • 8.9 Theme Example–100BASE-TX–Transmission of 100 Mbps Over Twisted Pair
  • 8.10 Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 9: Digital Band-Bass Transmission Techniques
  • 9.1 Introduction
  • 9.2 Band-Pass Transmission Model
  • 9.3 Transmission of Binary PSK and FSK
  • 9.4 M-ary Data Transmission Systems
  • 9.5 Comparison of Noise Performances of Various PSK and FSK Systems
  • 9.6 Theme Example—Orthogonal Frequency Division Multiplexing (OFDM)
  • 9.7 Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 10: Information Theory and Coding
  • 10.1 Introduction
  • 10.2 Uncertainty, Information, and Entropy
  • 10.3 Source-Coding Theorem
  • 10.4 Lossless Data Compression
  • 10.5 Theme Example—The Lempel–Ziv Algorithm and File Compression
  • 10.6 Discrete Memoryless Channels
  • 10.7 Channel Capacity
  • 10.8 Channel Coding Theorem
  • 10.9 Capacity of a Gaussian Channel
  • 10.10 Error Control Coding
  • 10.11 Linear Block Codes
  • 10.12 Convolutional Codes
  • 10.13 Trellis-Coded Modulation
  • 10.14 Turbo Codes
  • 10.15 Summary and Discussion
  • Notes and References
  • Problems
  • Appendix: Mathematical Tables
  • Glossary
  • Bibliography
  • Index
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