Oxford University Press
|Number of Pages
The international version of the second edition of Principles of Linear Systems and Signals presents a clear, comprehensive introduction to signals and linear systems.
The book emphasizes physical appreciation of concepts through heuristic reasoning, metaphors, analogies, and creative explanations. Such an approach is different from a purely deductive technique that uses mere mathematical manipulation of symbols and ignores the physical meaning behind various derivations. This deprives a student of the enjoyable experience of logical uncovering of the subject matter. Here the author uses mathematics not so much to prove axiomatic theory as to support and enhance physical and intuitive understanding. Wherever possible, theoretical results are interpreted heuristically and are enhanced by carefully chosen examples and analogies.
The organization of the text allows for a great deal of flexibility in teaching continuous-time and discrete-time concepts. The natural order of the chapters in the book integrates the two; however, the book can also be tailored to teach these concepts sequentially. Its thorough content, practical approach, and structural adaptability make the international version of Principles of Linear Systems and Signals, Second Edition, ideal for undergraduate courses in linear systems or signals and systems.
Fourier applications to communication systems
Convergence of an infinite seriesGroup and phase delayImpulse invariance method of designing analog systems using digital filters
About The Author:
B.P. Lathi is Professor Emeritus of Electrical Engineering at California State University, Sacramento. He holds a B.S. degree from the University of Poona, India, an M.S.E.E. from the University of Illinois, and a Ph.D.E.E. from Stanford University. He is the author of Principles of Linear Systems and Signals and Modern Digital and Analog Communications Systems.
Table Of Contents:
1. Signals and Systems
2. Time- Domain Analysis of Continuous- Time Systems
3. Time- Domain Analysis of Discrete- Time Systems
4. Continuous-Time System Analysis Using the Laplace Transform
5. Discrete-Time System Analysis Using the z- Transform
6. Continuous- Time Signal Analysis:The Fourier Series
7. Continuous- Time Signal Analysis:The Fourier Transform
8. Sampling: The Bridge From Continuous to Discrete
9. Fourier Analysis of Discrete Time-Signals
10. State Space Analysis
A.1 Complex Numbers
A.3 Sketching Signals
A.4 Partial Fraction Expansion
A.5 Vectors and Matrices