This new textbook in signals and systems provides a pedagogically rich approach to what can commonly be a mathematically dry subject. With features like historical notes, highlighted common mistakes, and applications in controls, communications, and signal processing, Chaparro helps students appreciate the usefulness of the techniques described in the book. Each chapter contains a section with MatLab applications.
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Featured Except from Signals and Systems using MATLAB
Although it is hardly possible to keep up with advances in technology, it is reassuring to know that in science and engineering, development and innovation are possible through a solid understanding of basic principles. The theory of signals and systems is one of those fundamentals, and it will be the foundation of much research and development in engineering for years to come. Not only engineers will need to know about signals and systems—to some degree everybody will. The pervasiveness of computers, cell phones, digital recording, and digital communications will require it.
Learning as well as teaching signals and systems is complicated by the combination of mathematical abstraction and concrete engineering applications. Mathematical sophistication and maturity in engineering are needed. Thus, a course in signals and systems needs to be designed to nurture the students’ interest in applications, but also to make them appreciate the significance of the mathematical tools. In writing this textbook, as in teaching this material for many years, the author has found it practical to follow Einstein’s recommendation that “Everything should be made as simple as possible, but not simpler,” and Melzak’s [47] dictum that “It is downright sinful to teach the abstract before the concrete.” The aim of this textbook is to serve the students’ needs in learning signals and systems theory as well as to facilitate the teaching of the material for faculty by proposing an approach that the author has found effective in his own teaching.
We consider the use of MATLAB, an essential tool in the practice of engineering, of great significance in the learning process. It not only helps to illustrate the theoretical results but makes students aware of the computational issues that engineers face in implementing them. Some familiarity with MATLAB is beneficial but not required.
[47] Z. A. Melzak. Companion to Concrete Mathematics. New York: Wiley, 1973.
Read a sample chapter from Signals and Systems using MATLAB on "Continuous-Time Systems." [PDF]
Signals and Systems Using MATLAB provides a pedagogically-rich and friendly approach to the subject. It nurtures the readers’ interest by balancing fundamentals with applications in controls, communications, and signal processing. The use of MATLAB, an essential tool in the practice of engineering, is integrated throughout to enhance the learning process. It not only helps illustrate the theoretical results but makes students aware of the computational issues that engineers face in implementing them.
Key Features:
Contents: From the Ground Up; Continuous-time Signals; Continuous-time Systems; The Laplace Transform; Frequency Analysis: The Fourier Series; Frequency Analysis: The Fourier Transform; Application to Control and Communications; Sampling Theory; Discrete-time Signals and Systems; The Z-transform; Fourier Representation of Discrete-time Signals and Systems; Introduction to Discrete Filtering; Applications of Discrete-time Signals and Systems; Appendix A: Useful Formulas
|Signals and Systems Using MATLAB provides a pedagogically-rich and friendly approach to the subject. It nurtures the readers’ interest by balancing fundamentals with applications in controls, communications, and signal processing. The use of MATLAB, an essential tool in the practice of engineering, is integrated throughout to enhance the learning process. It not only helps illustrate the theoretical results but makes students aware of the computational issues that engineers face in implementing them.
Key Features:
Contents: From the Ground Up; Continuous-time Signals; Continuous-time Systems; The Laplace Transform; Frequency Analysis: The Fourier Series; Frequency Analysis: The Fourier Transform; Application to Control and Communications; Sampling Theory; Discrete-time Signals and Systems; The Z-transform; Fourier Representation of Discrete-time Signals and Systems; Introduction to Discrete Filtering; Applications of Discrete-time Signals and Systems; Appendix A: Useful Formulas
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