Yang W.Y. etc. Signals and Systems with MatLAB

Springer, 2009. — 476 p.This book is primarily intended for junior-level students who take the courses on ‘signals and systems’. It may be useful as a reference text for practicing engineers and scientists who want to acquire some of the concepts required for signal processing. The readers are assumed to know the basics about linear algebra, calculus (on complex numbers, differentiation, and integration), differential equations, Laplace transform, and MatLAB. Some knowledge about circuit systems will be helpful. Knowledge in signals and systems is crucial to students majoring in Electrical Engineering. The main objective of this book is to make the readers prepared for studying advanced subjects on signal processing, communication, and control by covering from the basic concepts of signals and systems to manual-like introductions of how to use the MatLAB and Simulink R _ tools for signal analysis and filter design. The features of this book can be summarized as follows:
It not only introduces the four Fourier analysis tools, CTFS (continuous-time Fourier series), CTFT (continuous-time Fourier transform), DFT (discrete-time Fourier transform), and DTFS (discrete-time Fourier series), but also illuminates the relationship among them so that the readers can realize why only the DFT of the four tools is used for practical spectral analysis and why/how it differs from the other ones, and further, think about how to reduce the difference to get better information about the spectral characteristics of signals from the DFT analysis.
Continuous-time and discrete-time signals/systems are presented in parallel to save the time/space for explaining the two similar ones and increase the understanding as far as there is no concern over causing confusion.
It covers most of the theoretical foundations and mathematical derivations that will be used in higher-level related subjects such as signal processing, communication, and control, minimizing the mathematical difficulty and computational burden.
Most examples/problems are titled to illustrate key concepts, stimulate interest, or bring out connections with any application so that the readers can appreciate what the examples/problems should be studied for.
MatLAB is integrated extensively into the text with a dual purpose. One is to let the readers know the existence and feel the power of such software tools as help them in computing and plotting. The other is to help them to realize the physical meaning, interpretation, and/or application of such concepts as convolution, correlation, time/frequency response, Fourier analyses, and their results, etc.
The MatLAB commands and Simulink blocksets for signal processing application are summarized in the appendices in the expectation of being used like a manual. The authors made no assumption that the readers are proficient in MatLAB . However, they do not hide their expectation that the readers will get interested in using the MatLAB and Simulink R _ for signal analysis and filter design by trying to understand the MatLAB programs attached to some conceptually or practically important examples/problems and be able to modify them for solving their own problems.
The contents of this book are derived from the works of many (known or unknown) great scientists, scholars, and researchers, all of whom are deeply appreciated. We would like to thank the reviewers for their valuable comments and suggestions, which contribute to enriching this book.Signals and Systems.
Continuous-Time Fourier Analysis.
Discrete-Time Fourier Analysis.
The z-Transform.
Sampling and Reconstruction.
Continuous-Time Systems and Discrete-Time Systems.
Analog and Digital Filters.
State Space Analysis of LTI Systems.
A The Laplace Transform.
B Tables of Various Transforms.
C Operations on Complex Numbers, Vectors, and Matrices.
D Useful Formulas.
E MatLAB.
F Simulink.