Communication Systems

Höfundur: Simon Haykin (Útgáfa: 5)
Communication Systems

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This bestseller, easy-to-read book offers the most complete discussion on the theories and principles behind today's most advanced communications systems. Throughout, Haykin emphasizes the statistical underpinnings of communication theory in a complete and detailed manner. Readers are guided though topics ranging from pulse modulation and passband digital transmission to random processes and error-control coding.

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Útgefandi
Wiley Global Education US
ISBN
9780470460887
Print ISBN
9780471697909
Format
Page Fidelity (PDF)
Útgáfa
5
Höfundar
Simon Haykin
Tungumál
English
Útgefið
032009
Prent takmörkun á líftíma
100
Prent takmörkun
10
Afritunar takmörkun
2

Kaflar

  • Copyright
  • Preface
  • Chapter 1: Introduction
  • The Communication Process
  • The Layered Approach
  • Theme Example—Wireless
  • Communications
  • Notes and References
  • Chapter 2: Representation of Signals and Systems
  • Introduction
  • The Fourier Transform
  • Properties of the Fourier Transform
  • The Inverse Relationship Between Time and Frequency
  • Dirac Delta Function
  • Fourier Transforms of Periodic Signals
  • Transmission of Signals Through Linear Systems
  • Filters
  • Low-Pass and Band-Pass Signals
  • Band-Pass Systems
  • Phase and Group Delay
  • Sources of Information
  • Numerical Computation of the Fourier Transform
  • Theme Example—Channel Estimation of a Wireless LAN Channel
  • Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 3: Amplitude Modulation
  • Introduction
  • Amplitude Modulation
  • Double Sideband-Suppressed Carrier Modulation
  • Quadrature-Carrier Multiplexing
  • Single-Sideband and Vestigial-Sideband Methods of Modulation
  • Theme Example—VSB Transmission of Analog and Digital Television
  • Frequency Translation
  • Frequency-Division Multiplexing
  • Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 4: Angle Modulation
  • Introduction
  • Basic Definitions
  • Frequency Modulation
  • Phase-Locked Loop
  • Nonlinear Effects in FM Systems
  • The Superheterodyne Receiver
  • Theme Example—Analog and Digital FM Cellular Telephones
  • Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 5: Probability Theory and Random Processes
  • Introduction
  • Probability
  • Random Variables
  • Statistical Averages
  • Random Processes
  • Mean, Correlation, and Covariance Functions
  • Transmission of a Random Process Through a Linear Filter
  • Power Spectral Density
  • Gaussian Process
  • Noise
  • Narrowband Noise
  • Theme Example—Stochastic Model of a Mobile Radio Channel
  • Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 6: Noise in CW Modulation Systems
  • Introduction
  • Receiver Model
  • Noise in DSB-SC Receivers
  • Noise in AM Receivers
  • Noise in FM Receivers
  • Pre-emphasis and De-emphasis in FM
  • Theme Example—Link Budget of FM Satellite Link
  • Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 7: The Transition from Analog to Digital
  • Introduction
  • Why Digitize Analog Sources?
  • The Sampling Process
  • Pulse-Amplitude Modulation
  • Time-Division Multiplexing
  • Pulse-Position Modulation
  • Theme Example—PPM in Impulse Radio
  • The Quantization Process
  • Pulse-Code Modulation
  • Delta Modulation
  • Theme Example—Digitization of Video and MPEG
  • Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 8: Baseband Digital Transmission
  • Introduction
  • Baseband Pulses and Matched Filter Detection
  • Probability of Error Due to Noise
  • Intersymbol Interference
  • Eye Pattern
  • Nyquist's Criterion for Distortionless Transmission
  • Baseband M-ary PAM Transmission
  • Tapped-Delay-Line Equalization
  • Theme Example—100BASE-TX—Transmission of 100 Mbps Over Twisted Pair
  • Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 9: Digital Band-Pass Transmission Techniques
  • Introduction
  • Band-Pass Transmission Model
  • Transmission of Binary PSK and FSK
  • M-ary Data Transmission Systems
  • Comparison of Noise Performances of Various PSK and FSK Systems
  • Theme Example—Orthogonal Frequency Division Multiplexing (OFDM)
  • Summary and Discussion
  • Notes and References
  • Problems
  • Chapter 10: Information Theory and Coding
  • Introduction
  • Uncertainty, Information, and Entropy
  • Source-Coding Theorem
  • Lossless Data Compression
  • Theme Example—The Lempel-Ziv Algorithm and File Compression
  • Discrete Memoryless Channels
  • Channel Capacity
  • Channel Coding Theorem
  • Capacity of a Gaussian Channel
  • Error Control Coding
  • Linear Block Codes
  • Convolutional Codes
  • Trellis-Coded Modulation
  • Turbo Codes
  • Summary and Discussion
  • Notes and References
  • Problems
  • Appendix : Mathematical Tables
  • Glossary
  • Bibliography
  • Index