Introduction to communication systems /

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Bibliographic Details
Author / Creator:Stremler, Ferrel G.
Imprint:Reading, Mass. : Addison-Wesley Pub. Co., c1977.
Description:xii, 562 p. : ill. ; 25 cm.
Language:English
Series:Addison-Wesley series in electrical engineering
Subject:Telecommunication.
Signal theory (Telecommunication)
Télécommunications.
Télécommunications, Systèmes de.
Signal theory (Telecommunication)
Telecommunication.
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/7544480
Hidden Bibliographic Details
ISBN:0201072440
9780201072440
Notes:Includes bibliographical references and index.
Table of Contents:
  • 1. Introduction
  • 2. Orthogonality and Signal Representations
  • Signals and Systems
  • Classification of Signals
  • Classification of Systems
  • Signals and Vectors
  • Orthogonal Functions
  • Choice of a Set of Orthogonal Functions
  • The Exponential Fourier Series
  • Complex Signals and Representations
  • The Trigonometric Fourier Series Representation
  • Extension by Periodicity
  • Parseval's Theorem for Power Signals
  • The Frequency Transfer function
  • Steady-State Response to Periodic Signals
  • Harmonic Generation
  • The Fourier Spectrum and Examples
  • Numerical Computation of Fourier Coefficients
  • Effects of Alias Terms
  • Singularity Functions
  • Impulse Response
  • Convergence of the Fourier Series
  • Summary
  • Problems
  • 3. The Fourier Transform and Applications
  • Representation of an Aperiodic Function Over the Entire Real Line
  • The Spectral Density function
  • Existence of the Fourier Transform
  • Parseval's Theorem for Energy Signals
  • Some Fourier Transforms Involving Impulse Functions
  • Properties of the Fourier Transform
  • Some Convolution Relationships
  • Graphic Interpretation of Convolution
  • Filter Characteristics of Linear Systems
  • Transversal Filters
  • Bandwidth of a System
  • Requirements for Distortionless Transmission
  • Time Response of Filters
  • Minimum Time-Bandwidth Product
  • The Sampling Theorem
  • Aliasing Effects in Sampling
  • The Discrete Fourier Transform
  • The Fast Fourier Transform
  • Summary
  • Problems
  • 4. Spectral Density and Correlation
  • Energy Spectral Density
  • Power Spectral Density
  • Time-Averaged Noise Representations
  • Correlation Functions
  • Some Properties of Correlation Functions
  • Correlation Function for Finite-Energy Signals
  • Band-Limited White Noise
  • Summary
  • Problems
  • 5. Amplitude Modulation
  • Amplitude Modulation: Suppressed Carrier
  • Amplitude Modulation: Large Carrier (AM)
  • Frequency-Division Multiplexing (FDM)
  • Single-Sideband (SSB) Modulation
  • Vestigial-Sideband (VSB) Modulation
  • A Time-Representation of Bandpass Noise
  • Signal-to-Noise Ratios in AM Reception
  • Propagation Effects
  • Comparison of Various AM Systems
  • Summary
  • Problems
  • 6. Angle Modulation
  • FM and PM
  • Narrowband FM
  • Wideband FM
  • Average Power in Angle-Modulated Waveforms
  • Phase Modulation
  • Generation of Wideband FM Signals
  • Demodulation of FM Signals
  • Signal-to-Noise Ratios in FM Reception
  • Threshold Effect in FM
  • Signal-to-Noise Improvement Using Deemphasis
  • Summary
  • Problems
  • 7. Pulse Modulation
  • Pulse-Amplitude Modulation (PAM)
  • Time-Division Multiplexing (TDM)
  • Pulse Shaping and Intersymbol Interference
  • Other Types of Analog Pulse Modulation: PWM and PPM
  • Signal-to-Noise Ratios in Analog Pulse Modulation
  • Pulse-Code Modulation (PCM)
  • Fiber Optic Communication Systems
  • Use of Parity and Redundancy in PCM
  • Time-Division Multiplexing of PCM Signals
  • Integrated Services Digital Network (ISDN)
  • The Matched Filter
  • Matched-Filter Codeword Detection
  • Pseudonoise (PN) Sequences
  • Summary
  • Problems
  • 8. Probability and Random Variables
  • Probability
  • Conditional Probability and Statistical Independence
  • The Random Variable and Cumulative Distribution function
  • The Probability Density function
  • Statistical Averages
  • Some Probability Distributions
  • The Histogram
  • Transformations of Random Variables
  • Joint and Conditional Density Functions
  • Correlation Between Random Variables
  • The Bivariate Gaussian Distribution
  • Random Processes
  • Autocorrelation and Power Spectra
  • Numerical Computation of Power Spectra
  • Summary
  • Problems
  • 9. Information and Digital Transmission