Signals and Systems: Pearson New International Edition
2nd EditionAlan Oppenheim, Alan Willsky, with Hamid
Jul 2013, Paperback, 948 pagesISBN13: 9781292025902
ISBN10: 1292025905
Was £59.99, Now £53.99Save: £6.00
Description
 Table of Contents
 Features
For undergraduatelevel courses in Signals and Systems.
This comprehensive exploration of signals and systems develops continuoustime and discretetime 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, discretetime processing of continuoustime signals, and feedback. Relatively selfcontained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and ztransforms.
 Description
Table of Contents
 Features
(NOTE: Each chapter begins with an Introduction and concludes with a Summary.)
1. Signals and Systems.
ContinuousTime and DiscreteTime Signals. Transformations of the Independent Variable. Exponential and Sinusoidal Signals. The Unit Impulse and Unit Step Functions. ContinuousTime and DiscreteTime Systems. Basic System Properties.
2. Linear TimeInvariant Systems.
DiscreteTime LTI Systems: The Convolution Sum. ContinuousTime LTI Systems: The Convolution Integral. Properties of Linear TimeInvariant 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 ContinuousTime Periodic Signals. Convergence of the Fourier Series. Properties of ContinuousTime Fourier Series. Fourier Series Representation of DiscreteTime Periodic Signals. Properties of DiscreteTime Fourier Series. Fourier Series and LTI Systems. Filtering. Examples of ContinuousTime Filters Described by Differential Equations. Examples of DiscreteTime Filters Described by Difference Equations.
4. The ContinuousTime Fourier Transform.
Representation of Aperiodic Signals: The ContinuousTime Fourier Transform. The Fourier Transform for Periodic Signals. Properties of the ContinuousTime Fourier Transform. The Convolution Property. The Multiplication Property. Tables of Fourier Properties and Basic Fourier Transform Pairs. Systems Characterized by Linear ConstantCoefficient Differential Equations.
5. The DiscreteTime Fourier Transform.
Representation of Aperiodic Signals: The DiscreteTime Fourier Transform. The Fourier Transform for Periodic Signals. Properties of the DiscreteTime Fourier Transform. The Convolution Property. The Multiplication Property. Tables of Fourier Transform Properties and Basic Fourier Transform Pairs. Duality. Systems Characterized by Linear ConstantCoefficient Difference Equations.
6. Time and Frequency Characterization of Signals and Systems.
The MagnitudePhase Representation of the Fourier Transform. The MagnitudePhase Representation of the Frequency Response of LTI Systems. TimeDomain Properties of Ideal FrequencySelective Filters. Time Domain and FrequencyDomain Aspects of Nonideal Filters. FirstOrder and SecondOrder ContinuousTime Systems. FirstOrder and SecondOrder DiscreteTime Systems. Examples of Time and FrequencyDomain Analysis of Systems.
7. Sampling.
Representation of a ContinuousTime Signal by Its Samples: The Sampling Theorem. Reconstruction of a Signal from Its Samples Using Interpolation. The Effect of Undersampling: Aliasing. DiscreteTime Processing of ContinuousTime Signals. Sampling of DiscreteTime Signals.
8. Communication Systems.
Complex Exponential and Sinusoidal Amplitude Modulation. Demodulation for Sinusoidal AM. FrequencyDivision Multiplexing. SingleSideband Sinusoidal Amplitude Modulation. Amplitude Modulation with a PulseTrain Carrier. PulseAmplitude Modulation. Sinusoidal Frequency Modulation. DiscreteTime 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 PoleZero 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 ZTransform.
The zTransform. The Region of Convergence for the zTransform. The Inverse zTransform. Geometric Evaluation of the Fourier Transform from the PoleZero Plot. Properties of the zTransform. Some Common zTransform Pairs. Analysis and Characterization of LTI Systems Using zTransforms. System Function Algebra and Block Diagram Representations. The Unilateral zTransforms.
11. Linear Feedback Systems.
Linear Feedback Systems. Some Applications and Consequences of Feedback. RootLocus Analysis of Linear Feedback Systems. The Nyquist Stability Criterion. Gain and Phase Margins.
Bibliography.
Answers.
Index.
 Description
 Table of Contents
Features
 Develops continuoustime and discretetime concepts in parallel  highlighting the similarities and differences. E.g.:

Ch. 1 on basic signals and system properties, Ch. 2 on linear timeinvariant systems, and Ch. 3 on Fourier series representation each develop the continuoustime and discretetime concepts in parallel. Pg.___

Ch. 9 on the Laplace Transform and Ch. 10 on the Ztransform deal with the two domains separately, but often draw parallels between results in the two domains. Pg.___

 Introduces some of the important uses of the basic methods that are developed  e.g., filtering, communication, sampling, discretetime processing of continuoustime signals, and feedback. Pg.___
 Includes an uptodate bibliography. Pg.___
 A companion book contains MATLABbased computer exercises for each topic in the text. Pg.___
 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.
 Frequencydomain 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.
 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.
 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. Pg.___

 Includes significantly more worked examples. Pg.___
 Provides over 600 chapterend problems,  20 per chapter, with answers (not solutions). Pg.___
 Features a majority of new chapterend problems.
 Chapterend 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 problemsolving skills. New edition organizes chapterend 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 chapterend problems are

Basic Problems with Answers. Pg.___

Basic Problems. Pg.___

Advanced Problems. Pg.___

Extension Problems. Pg.___
