Elements of Signals and Systems (PWS-Kent Series in Electrical Engineering)

Alexander D. Poularikas and Samuel Seely

ISBN 10: 0534914403 / ISBN 13: 9780534914400

Edité par PWS-Kent, 1988

A propos de cet article

Binding has edgewear; corners bumped; tight, text clean. x, 581 p., illustrated; "Errata sheet[s] [corrections] for the first printing only" laid in loosely at front. [b 369].

N° de réf. du vendeur 204864

Détails bibliographiques

• Titre: Elements of Signals and Systems (PWS-Kent Series in Electrical Engineering)
• Éditeur: PWS-Kent
• Date de parution: 1988
• Langue: anglais
• ISBN à 10 chiffres: 0534914403
• ISBN à 13 chiffres: 9780534914400
• Reliure: Hardcover
• Édition: 1st Edition
• État de l'article: Very Good

A propos de ce titre

Synopsis

This text provides an essential parallel treatment of continuous time and discrete time methods in signals and signal processing modelling and simulation, digital signal processing, filter theory and digital filters. Every topic is illustrated by applications and examples from both the students' background in electrical circuits, and from practical unrelated fields, such as: economics, physics, biomedical engineering, chemistry and heat transfer. The authors take into consideration the fact that students' previous mathematical studies may be too limited for many of the topics considered and, therefore, all essential mathematical details are included. Where a given development might involve extensive mathematical demands, this is indicated by use of a symbol at the section title. An appendix on matrix theory is included as support material to state equation development. This book should be of interest to degree and diploma students on courses in signals and systems; a knowledge of circuit theory and mathematics through differential equations is a prerequisite.

Présentation de l'éditeur

Signals and Systems Primer with MATLAB® equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure insight into the basic concepts and methods, the text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems. It also provides MATLAB functions and procedures for practice and verification of these concepts.

Taking a pedagogical approach, the author builds a solid foundation in signal processing as well as analog and digital systems. The book first introduces orthogonal signals, linear and time-invariant continuous-time systems, discrete-type systems, periodic signals represented by Fourier series, Gibbs's phenomenon, and the sampling theorem. After chapters on various transforms, the book discusses analog filter design, both finite and infinite impulse response digital filters, and the fundamentals of random digital signal processing, including the nonparametric spectral estimation. The final chapter presents different types of filtering and their uses for random digital signal processing, specifically, the use of Wiener filtering and least mean squares filtering.

Balancing the study of signals with system modeling and interactions, this text will help readers accurately develop mathematical representations of systems.