Signals and Stochastic Processes

Contents: Preface. 1. Introduction To Signals and Systems. 2. Signal Analysis . 3. Fourier Series. 4. Fourier Transforms. 5. Signal Transmission through Linear Systems. 6. Sampling.  7. Laplace Transforms. 8. Z–Transforms.  9. Random Processes  – Temporal Characteristics.   10. Stochastic Processes  – Spectral Characteristics. Appendices. Bibliography. Index. 

This book, covering the fundamentals of the theory of signals, systems and stochastic process, is intended to provide a firm understanding of the concepts, theories, processes and mathematical tools necessary for dealing with various kinds of signals and their interaction with systems. This knowledge forms the basis for the study of other engineering subjects such as circuit design, power systems, automatic control, communications, and signal processing. Although the contents have been structured keeping in view the requirements of JNTUH’s  electronics and communication engineering undergraduate programme, it will also meet the requirements of  the curriculum of most other technical universities in India. 

Salient points:

A firm understanding of continuous- and discrete-time signals, linear time-invariant systems and signal–system interaction
Mathematical tools such as Fourier, Laplace and Z-transforms developed and applied in many problems to provide a clear understanding of their application in signal analysis and synthesis.

The notion of a random signals or stochastic processes, their characterisation and response of systems to such signals explained in detail Simulations of the solutions to many problems developed using MATLAB included as an appendix Emphasis on problem solving with the inclusion of a large number of worked-out examples and exercises.