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Signals and systems / Alan V. Oppenheim, Alan S. Willsky with Ian T. Young.
By: Oppenheim, Alan V
.
Contributor(s): Willsky, Alan S | Young, Ian T.
Material type: 
BookSeries: 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.
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 621.38043 (Browse shelf(Opens below)) | 1 | Available | 00034934 |
Total holds: 0
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| 621.38043 Digital signal processing / | 621.38043 Fundamentals of digital signal processing / | 621.38043 Electronic signals and systems / | 621.38043 Signals and systems / | 621.38043 Discrete-time signal processing : an introduction / | 621.380433 D.F.T./F.F.T. and convolution algorithms / | 621.380436 Signal recovery from noise in electronic instrumentation / |
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: p. 777-782. - includes 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