Published December, 1996 by Prentice Hall Engineering, Science & Math
Developed from Professor Kamen's best-selling text Introduction to Signals and Systems, this forward-looking new text presents accessible yet comprehensive analytical treatment of signals and systems and also incorporates a strong emphasis on solving problems and exploring concepts using MATLAB. A MATLAB tutorial is provided on a disk which is available for student/instructor use, and all examples in the text are developed in terms of the Student Edition of MATLAB<^>®.
Includes extensive use of MATLAB throughout the book requiring no previous experience with MATLAB for students to follow and implement MATLAB-based examples and problems given in the book.
- Most computational aspects of theory are illustrated by using MATLAB.
- A disk is available free from MATHWORKS containing all the MATLAB examples given in the text. Included on the disk is a brief tutorial on MATLAB which is tailored to the text.
Continuous-time and discrete-time signals and systems are treated in parallel throughout the text, allowing for a more direct comparison between the two cases, a keener understanding of their similarities and differences, and thus a more complete grasp of the theory.
Provides numerous illustrative examples and homework problems interspersed throughout the text, motivating theory and involving common applications such as:
- Electrical circuits
- Analog and digital filters
- Mechanical systems
- Biological systems
- Manufacturing systems
Contains separate chapters on feedback control and digital filter design which illustrate the application of transform techniques to give students solid preparation for advanced electives in signal processing and controls, and the chapters on Fourier transformation also contain a number of relevant applications in communications.
Emphasizes the construction of discrete-time models from continuous-time models so that actual systems can be studied using a digital computer. This presentation helps explain how MATLAB software is used for continuous-time systems and powerfully illustrates the theory's usefulness in being able to carry out computations.
Devotes a chapter to the state space representation in order to prepare students for an elective course in modern control.
Presents some material on nonlinear systems, linearization, and time-varying systems to prepare students for systems they will encounter in practice while limiting the level of presentation of these topics to that appropriate for an introductory text.