About the Book :
The text provides a balanced and integrated treatment of continuous-time and discrete-time forms of signals and systems intended to reflect their roles in engineering practice. This approach has the pedagogical advantage of helping the reader see the fundamental similarities and differences between discrete-time and continuous-time representations. It includes a discussion of filtering, modulation and feedback by building on the fundamentals of signals and systems covered in earlier chapters of the book.
Interesting Facts :
Design and MATLAB concepts have been integrated in the textIntegrates applications as it relates signals to a remote sensing system, a controls system, radio astronomy, a biomedical system and seismology
IntroductionTime-Domain Representations of Linear Time-Invariant SystemsFourier Representations of Signals and Linear Time Invariant SystemsApplications of Fourier Representations to Mixed Signal ClassesApplication to Communication SystemsRepresenting Signals by Using Continuous-Time Complex Exponentials: The Laplace TransformRepresenting Signals by Using Discrete-Time Complex Exponentials: The z-TransformApplication to Filters and Equalizers/Application to Linear Feedback SystemsEpilogueAppendix A: Selected Mathematical IdentitiesAppendix B: Partial-Fraction ExpansionsAppendix C: Tables of Fourier Representations and PropertiesAppendix D: Tables of Laplace Transforms and PropertiesAppendix E: Tables of z-Transforms and PropertiesAppendix F: Introduction to MATLABIndex