Index | Next Record | Browse
For Pricing and Availability Click Here

Signals and Systems (2nd International edition) ISBN: 0136511759 ISBN13: 9780136511755 Signals and Systems (2nd International edition) By: Alan Oppenheim ; Alan S. Willsky ; S.Hamid Nawab Publisher: Pearson Education (US) Format: Paperback Our Price: 58.99

  Table of contents:

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.


Contents:

(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-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 Systems Using the Laplace Transform

System Function Algebra and Block Diagram Representations

The Unilateral Laplace Transform

 10

The Z-Transform

 The z-Transform

The Region of Convergence for the z-Transform

The Inverse z-Transform

Geometric Evaluation of the Fourier Transform from the Pole-Zero Plot

Properties of the z-Transform

Some Common z-Transform Pairs

Analysis and Characterization of LTI Systems Using z-Transforms

System Function Algebra and Block Diagram Representations

The Unilateral z-Transforms

 11

Linear Feedback Systems

 Linear Feedback Systems

Some Applications and Consequences of Feedback

Root-Locus Analysis of Linear Feedback Systems

The Nyquist Stability Criterion

Gain and Phase Margins

 Appendix: Partial-Fraction Expansion

 Bibliography

 Answers

 Index.


Brief Description:

Useful for undergraduate-level courses in Signals and Systems, this text explores signals and systems by developing continuous-time and discrete-time concepts/methods in parallel. It highlights similarities and differences and features introductory treatments of applications of these methods in such areas as filtering, communication, and sampling.

For Pricing and Availability Click Here

Static Book Details Page - Click Here to go to BookFellas Book Store Home Page