Textbook in PDF format

This textbook provides a compact but comprehensive treatment that guides students to solve Signals and Systems problems using MatLAB/Simulink. Ideal as a hands-on source for courses in Signals and Systems or Control Systems, this text focuses on solving problems using market-standard software, corresponding to all key concepts covered in the classroom. The author uses his extensive classroom experience to guide students toward deeper understanding of key concepts, while they gain facility with software they will need to master for later studies and practical use in their engineering careers.
A signal is the variation of a physical, or non-physical, quantity with respect to one or more independent variable(s). Signals typically carry information that is somehow relevant for some purpose. System is defined as any process in which input signals are transformed to output signals. The study of signals and systems is, by necessity, highly mathematical since its focus is to allow one to predict, with some certainty, the behavior of systems when they are subjected to different input signals.
Signals and systems course is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, and consumer electronics. In this course, you will examine signal and systems analysis in continuous and discrete time.
Many good textbooks are written on the theoretical aspects of signals and systems. They teach the pencil and paper analysis very well. However, in real world most of the engineering problems are solved with the aid of computers. Therefore, it is important to learn how to solve the problems with the aid of related softwares as well.
This book shows how to solve signals and systems problems with the aid of MatLAB and Simulink. It can accompany any standard signals and systems text-book. The main audiences of this book are university students (for instance, majors like: electrical and computer engineering, biomedical, mechanical, and applied mathematics to name a few)