Signals and Systems
A MATLAB® Integrated Approach

Drawing on the author?s 25+ years of teaching experience, Signals and Systems: A MATLAB® Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory. Many texts use MATLAB® as a computational tool, but Alkin?s text employs MATLAB both computationally and pedagogically to provide interactive, visual reinforcement of the fundamentals, including the characteristics of signals, operations used on signals, time and frequency domain analyses of systems, continuous-time and discrete-time signals and systems, and more.

In addition to 350 traditional end-of-chapter problems and 287 solved examples, the book includes hands-on MATLAB modules consisting of:

• 101 solved MATLAB examples, working in tandem with the contents of the text itself
• 98 MATLAB homework problems (coordinated with the 350 traditional end-of-chapter problems)
• 93 GUI-based MATLAB demo programs that animate key figures and bring core concepts to life
• 23 MATLAB projects, more involved than the homework problems (used by instructors in building assignments)
• 11 sections of standalone MATLAB exercises that increase MATLAB proficiency and enforce good coding practices

Each module or application is linked to a specific segment of the text to ensure seamless integration between learning and doing. A solutions manual, all relevant MATLAB code, figures, presentation slides, and other ancillary materials are available on an author-supported website or with qualifying course adoption.

By involving students directly in the process of visualization, Signals and Systems: A MATLAB® Integrated Approach affords a more interactive?thus more effective?solution for a one- or two-semester course on signals and systems at the junior or senior level.

Signal Representation and Modeling. Analyzing Continuous-Time Systems in the Time Domain. Analyzing Discrete-Time Systems in the Time Domain. Fourier Analysis for Continuous-Time Signals and Systems. Fourier Analysis for Discrete-Time Signals and Systems. Sampling and Reconstruction. Laplace Transform for Continuous-Time Signals and Systems. z-Transform for Discrete-Time Signals and Systems. State-Space Analysis of Systems. Analysis and Design of Filters. Amplitude Modulation. Appendices.

Oktay Alkin earned a bachelor’s degree in electrical engineering from Istanbul Technical University, Turkey, and a master’s degree and Ph.D from University of Alabama, Tuscaloosa, USA. Since 1986, he has been a faculty member in the Department of Electrical and Computer Engineering at Southern Illinois University Edwardsville, USA, where he currently serves as the department chair. He has consulted for a variety of companies and organizations in the areas of signal and image processing and medical imaging, as well as authored numerous books and articles. His current research interests include medical imaging and applications of wireless sensor networks.