SIGNALS AND SYSTEMS 2ND EDITION
Ouvrage 0-13-814757-4 : SIGNALS AND SYSTEMS 2ND EDITION
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.
Develops continuous-time and discrete-time concepts in parallel --
highlighting the similarities
and differences. E.g.:
Ch. 1 on basic signals and system properties, Ch. 2 on linear
time-invariant systems, and Ch.
3 on Fourier series representation each develop the
continuous-time and discrete-time
concepts in parallel.
Ch. 9 on the Laplace Transform and Ch. 10 on the Z-transform
deal with the two domains
separately, but often draw parallels between results in the
two domains.
Introduces some of the important uses of the basic methods that are
developed -- e.g., filtering,
communication, sampling, discrete-time processing of
continuous-time signals, and feedback.
Includes an up-to-date bibliography.
NEW--A companion book contains MATLAB-based computer exercises for
each topic in the
text.
NEW--Material on Fourier analysis has been reorganized
significantly to provide an easier path for
the student to master and appreciate the importance of this topic.
Now represented in four chapters,
each of which is far more streamlined and focused, introducing a
smaller and more cohesive set of
topics. This will greatly enhance the students ability to organize
their understanding of the material.
NEW--Frequency-domain filtering is introduced very early in the
development to provide a central
and concrete illustration of why this topic is important and to
provide some intuition with a minimal
amount of mathematical preliminaries. The students will be able to
see why this topic is so important
and gain some intuition which will enhance his or her appreciation
of the developments that follow.
NEW--Much of the advanced material that had appeared in the Fourier
transform chapters in the
first edition have now been pulled together into the time and
frequency domain chapter, so that only
the basic concepts are introduced in these chapters; and provide a
more cohesive treatment of time
and frequency domain issues.
NEW--Relocates coverage of Sampling before Communication.
Allows instructor and students to discuss important forms of
communication, namely those
involving discrete or digital signals, in which sampling
concepts are intimately involved.
NEW--Includes significantly more worked examples.
NEW--Provides over 600 chapter-end problems, -- 20 per chapter,
with answers (not solutions).
NEW--Features a majority of new chapter-end problems.
NEW--Chapter-end Problems have been reorganized and assembled to
aid the student and
instructor. They provide a better balance between exercises
developing basic skills and
understanding ones that pursue more advanced problem-solving
skills. New edition organizes
chapter-end problems into four types of sections which makes it
easier for the instructor and student
to locate the problems that will best serve their purposes; and
provides two types of basic problems,
ones with answers (but not solutions); and ones with solutions to
provide immediate feedback to the
student while attempting to master the material. The four types of
chapter-end problems are--
Basic Problems with Answers.
Basic Problems.
Advanced Problems.
Extension Problems.
TABLE OF 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.
Auteur : OPPENHEIM
Editeur : PRENTICE HALL
Nombre de pages : 992
Date de publication : 10 1996
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