MTU Library Catalogue

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Signals and systems / Alan V. Oppenheim, Alan S. Willsky with Ian T. Young.

By: Oppenheim, Alan V, 1937-.
Contributor(s): Willsky, Alan S | Young, Ian T.
Material type: materialTypeLabelBookSeries: Prentice-Hall signal processing series.Publisher: London : Prentice-Hall, 1983Description: xix, 796 p. : ill. ; 25 cm.ISBN: 0138111758.Subject(s): Signal theory (Telecommunication) | System analysisDDC classification: 621.38043
Contents:
Introduction -- Signals and systems -- Linear time-invariant systems -- Fourier analysis for continuous-time signals and systems -- Fourier analysis for discrete-time signals and systems -- Filtering -- Modulation -- Sampling -- The laplace transform -- The z-transform -- Linear feedback systems.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 621.38043 (Browse shelf(Opens below)) 1 Available 00034934
Total holds: 0

Enhanced descriptions from Syndetics:

This exploration of signals and systems develops continuous-time and discrete-time concepts/methods in parallel, and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback.

Bibliography: (pages 777-782) and index.

Introduction -- Signals and systems -- Linear time-invariant systems -- Fourier analysis for continuous-time signals and systems -- Fourier analysis for discrete-time signals and systems -- Filtering -- Modulation -- Sampling -- The laplace transform -- The z-transform -- Linear feedback systems.

Table of contents provided by Syndetics

  • 1 Signals and Systems
  • Continuous-Time and Discrete-Time Signals
  • Transformations of the Independent Variable
  • Exponential and Sinusoidal Signals
  • The Unit Impulse and Unit Step Functions
  • Continuous-Time and Discrete-Time Systems
  • Basic System Properties
  • 2 Linear Time-Invariant Systems
  • Discrete-Time LTI Systems: The Convolution Sum
  • Continuous-Time LTI Systems: The Convolution Integral
  • Properties of Linear Time-Invariant Systems
  • Causal LTI Systems Described by Differential and Difference Equations
  • Singularity Functions
  • 3 Fourier Series Representation of Periodic Signals
  • A Historical Perspective
  • The Response of LTI Systems to Complex Exponentials
  • Fourier Series Representation of Continuous-Time Periodic Signals
  • Convergence of the Fourier Series
  • Properties of Continuous-Time Fourier Series
  • Fourier Series Representation of Discrete-Time Periodic Signals
  • Properties of Discrete-Time Fourier Series
  • Fourier Series and LTI Systems
  • Filtering
  • Examples of Continuous-Time Filters Described by Differential Equations
  • Examples of Discrete-Time Filters Described by Difference Equations
  • 4 The Continuous-Time Fourier Transform
  • Representation of Aperiodic Signals: The Continuous-Time Fourier Transform
  • The Fourier Transform for Periodic Signals
  • Properties of the Continuous-Time Fourier Transform
  • The Convolution Property
  • The Multiplication Property
  • Tables of Fourier Properties and Basic Fourier Transform Pairs
  • Systems Characterized by Linear Constant-Coefficient Differential Equations
  • 5 The Discrete-Time Fourier Transform
  • Representation of Aperiodic Signals: The Discrete-Time Fourier Transform
  • The Fourier Transform for Periodic Signals
  • Properties of the Discrete-Time Fourier Transform
  • The Convolution Property
  • The Multiplication Property
  • Tables of Fourier Transform Properties and Basic Fourier Transform Pairs
  • Duality
  • Systems Characterized by Linear Constant-Coefficient Difference Equations
  • 6 Time- and Frequency Characterization of Signals and Systems
  • The Magnitude-Phase Representation of the Fourier Transform
  • The Magnitude-Phase Representation of the Frequency Response of LTI Systems
  • Time-Domain Properties of Ideal Frequency-Selective Filters
  • Time- Domain and Frequency-Domain Aspects of Nonideal Filters
  • First-Order and Second-Order Continuous-Time Systems
  • First-Order and Second-Order Discrete-Time Systems
  • Examples of Time- and Frequency-Domain Analysis of Systems
  • 7 Sampling
  • Representation of a Continuous-Time Signal by Its Samples: The Sampling Theorem
  • Reconstruction of a Signal from Its Samples Using Interpolation
  • The Effect of Undersampling: Aliasing
  • Discrete-Time Processing of Continuous-Time Signals
  • Sampling of Discrete-Time Signals
  • 8 Communication Systems
  • Complex Exponential and Sinusoidal Amplitude Modulation
  • Demodulation for Sinusoidal AM. Frequency-Division Multiplexing
  • Single-Sideband Sinusoidal Amplitude Modulation
  • Amplitude Modulation with a Pulse-Train Carrier
  • Pulse-Amplitude Modulation
  • Sinusoidal Frequency Modulation
  • Discrete-Time Modulation
  • 9 The Laplace Transform
  • The Laplace Transform
  • The Region of Convergence for Laplace Transforms
  • The Inverse Laplace Transform
  • Geometric Evaluation of the Fourier Transform from the Pole-Zero Plot
  • Properties of the Laplace Transform
  • Some Laplace Transform Pairs
  • Analysis and Characterization of LTI System