Digital Filters
Theory, Application and Design of Modern Filters

A presentation of the various methods used by engineers to separate signals from noise. As this is mostly done by using a suitable filter, this book focuses on the understanding and design of the different types of such filters, whether discrete or linear, deterministic or stochastic.
While written with the practitioner in mind, the text equally serves as a textbook for a graduate course, with around 200 problems and projects available online.

1. BACKGROUND AND INTRODUCTION
2. DISCRETE TIME SIGNALS AND SYSTEMS
3. DISCRETE TIME SYSTEMS IN THE FREQUENCY DOMAIN
4. THE Z-TRANSFORM
5. DISCRETE FILTER DESIGN TECHNIQUES
6. COMPUTING THE DFT
7. MULTIRATE SIGNAL PROCESSING AND DEVICES
8. INTRODUCTION TO STOCHASTIC PROCESSES
9. WEINER FILTERS
10. ADAPTIVE FILTERS
11. FURTHER READING

Rajiv J. Kapadia is the director of the Honors program and a Professor in the Electrical Engineering Department at Minnesota State University in Mankato, USA. He obtained his academic degrees from The University of Bombay and from the University of Oklahoma. Dr. Kapadia is experienced in teaching in several different university systems as he has taught in the University of Queensland in Brisbane, Australia, and in the University of Mumbai, India. He spent most of his career teaching and consulting. Professor Kapadia has authored several scientific publications as well as two text books.