Signals & systems / Alan V. Oppenheim, Alan S. Willsky with S. Hamid Nawab.
Material type:
TextSeries: Prentice-Hall signal processing seriesPublication details: Englewood Cliffs ; London : Prentice-Hall International, 1997.Edition: 2nd edDescription: xxiv, 957 p. : ill ; 24 cmISBN: - 0136511759
- Signals and systems
- 003 19
- QA402 .O63 1983
| Item type | Current library | Call number | Copy number | Status | Barcode | |
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| Books | Library First Floor | QA402 .O63 1983 (Browse shelf(Opens below)) | 2 | Available | 11661 | |
| Books | Library First Floor | QA402 .O63 1983 (Browse shelf(Opens below)) | 3 | Available | 11663 | |
| Books | Library First Floor | QA402 .O63 1983 (Browse shelf(Opens below)) | 1 | Available | 11662 | |
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| QA401 .T512 1990 Equations of mathematical physics / | QA402 .C5357 2005 Collective dynamics of nonlinear and disordered systems / | QA402 .O63 1983 Signals & systems / | QA402 .O63 1983 Signals & systems / | QA402 .O63 1983 Signals & systems / | QA402 .O63 1983 Signals & systems / | QA402.35 .C6545 2005 Control and Observer Design for Nonlinear Finite and Infinite Dimensional Systems / |
"International edition"--cover.
Includes index.
(NOTE: Each chapter begins with an Introduction and concludes with a Summary.) 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-Coe
For undergraduate-level courses in Signals and Systems. This comprehensive exploration of signals and systems develops continuous-time and discrete-time concepts/methods in parallel -- highlighting the similarities and differences -- 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. Relatively self-contained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms.
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