Continuous and Discrete Time Signals and Systems

This textbook provides a detailed study of continuous and discrete time signals and systems, at a theoretical as well as a practical level, for undergraduate as well as graduate students. The book follows a didactic approach, allowing the students to acquire a solid knowledge and skill required for the study of more advanced subjects, such as telecommunications, as well as automatic control systems. The detailed presentation of the theory in this book is accompanied by many examples, as well as hundreds of solved and unsolved exercises, that help the reader to gain immediately a deep understanding of the presented material and the way it is used in practice. Because of the mathematical complexity associated with the presented material, this book requires a good knowledge of basic concepts from linear algebra and mathematical analysis, such as, for example, elements of matrix theory, the concepts of the derivative and the integral, as well as the knowledge of the main aspects associated with differential and difference equations for the continuous and the discrete time domain, respectively. Special emphasis should also be given to well known techniques that allow the estimation of the inverse transforms, such as polynomial division, partial fractions expansion, as well as the methods of residues for the estimation of integrals of complex functions.

Athanasios I. Margaris currently works at the Department of Digital Systems in the University of Thessaly as an Adjunct Lecturer. Athanasios does research in Algorithms, Artificial Neural Networks and Applied Mathematics. He received his BSc in Physics from the Department of Physics of Aristotle University of Thessaloniki in 1992, his MSc in Computer Science from the Computer Science Department of the University of Sheffield in 1995 and his PhD in Computer Science from the Department of Applied Informatics of the University of Macedonia in 2003. The subject of his PhD thesis was the study of chaotic attractors and nonlinear systems with the help of neural networks as well as of the chaotic features of these structures. The last 22 years he has been working as a Part Time Lecturer and Assistant Professor in Higher Education, teaching Physics, Applied Mathematics and Computer Science. His research interests include among others, mathematical physics, digital signal processing, neural networks, as well as parallel and distributed systems. He has published over 50 research and conference papers in scientific journals and proceedings of Greek and International conferences. Currently, he is the author of 6 books on Computer Science and Applied Mathematics, as well as the translator of 16 other books on related subjects, from English to Greek.