Linear Systems and Signals
International Edition
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Product details:
- Edition number 2
- Publisher OUP USA
- Date of Publication 4 June 2009
- ISBN 9780195392562
- Binding Paperback
- No. of pages992 pages
- Size 196x196x40 mm
- Weight 1701 g
- Language English 0
Categories
Short description:
This is an introductory text designed for students taking the Linear Systems or Signals and Sytems course. This course is offered in all electrical engineering departments and is required of all electrical engineering degree students. The new edition incorporates many new problems and computer examples plus MATLAB material at the end of each chapter. This book is in the Oxford Series in Electrical and Computer Engineering.
MoreLong description:
This book presents a comprehensive treatment of signals and linear systems at an introductory level. The text emphasizes the physical appreciation of concepts rather than mere mathematical manipulation of symbols. Mathematics is used to enhance physical and intuitive understanding rather than to prove axiomatic theory. Theoretical results are frequently supported by carefully chosen examples and analogies. The organization of the book permits a great deal of flexibility in teaching the continuous-time and discrete-time concepts. The natural sequence of chapters is meant to integrate continuous-time and discrete-time analysis. It is also possible to use a sequential approach in which all the continuous-time analysis is covered first, followed by discrete-time analysis. Therefore, the book can adapt either of the most common approaches to teach signals and systems course.
MoreTable of Contents:
Preface
B. Background
Signals and Systems
Time-Domain Analysis of Continuous-Time Systems
Time-Domain Analysis of Discrete-Time Systems
Continuous-Time System Analysis Using the Laplace Transform
Discrete-Time System Analysis Using the z -Transform
Continuous-Time Signal Analysis: The Fourier Series
Continuous-Time Signal Analysis: The Fourier Transform
Sampling: The Bridge from Continuous to Discrete
Fourier Analysis of Discrete-Time Signals
State-Space Analysis