K. Deergha Rao is director and professor in the Navigational Electronics Research and Training Unit (NERTU), University College of Engineering, Osmania University, Hyderabad, India.  He is a senior member of IEEE and has served as a chairman of communications and signal processing societies for IEEE Hyderabad section. His research interests include GPS signal processing, wireless channel coding, blind equalization, robust multiuser detection, OFDM UWB signal processing, MIMO SFBC OFDM, image processing, cryptosystems and VLSI signal processing.

This textbook covers the fundamental theories of signals and systems analysis, while incorporating recent developments from integrated circuits technology into its examples. Starting with basic definitions in signal theory, the text explains the properties of continuous-time and discrete-time systems and their representation by differential equations and state space. From those tools, explanations for the processes of Fourier analysis, the Laplace transform, and the z-Transform provide new ways of experimenting with different kinds of time systems. The text also covers the separate classes of analog filters and their uses in signal processing applications.
Intended for undergraduate electrical engineering students, chapter sections include exercise for review and practice for the systems concepts of each chapter. Along with exercises, the text includes MATLAB-based examples to allow readers to experiment with signals and systems code on their own. An online repository of theMATLAB code from this textbook can be found at github.com/springer-math/signals-and-systems.

Preface.- Contents.- Introduction.- Continuous-Time Signals and Systems.- Frequency Domain Analysis of Continuous-Time Signals and Systems.- The Laplace Transform for Continuous-Time Signals and Systems.- Analog Filters.- Discrete-Time Signals and Systems.- Fourier Analysis for Discrete-Time Signals and Systems.- The Z-Transform for Discrete-Time Signals and Systems.- Fourier Analysis for Discrete-Time Signals and Systems.- The Z-Transform for Discrete-Time Signals and Systems