This book provides a comprehensive overview of digital signal processing for a multi-disciplinary audience. It posits that though the theory involved in digital signal processing stems from electrical, electronics, communication, and control engineering, the topic has use in other disciplinary areas like chemical, mechanical, civil, computer science, and management. This book is written about digital signal processing in such a way that it is suitable for a wide ranging audience. Readers should be able to get a grasp of the field, understand the concepts easily, and apply as needed in their own fields. It covers sampling and reconstruction of signals; infinite impulse response filter; finite impulse response filter; multi rate signal processing; statistical signal processing; and applications in multidisciplinary domains. The book takes a functional approach and all techniques are illustrated using Matlab.

E.S. Gopi has authored six books, five of which have been published by Springer. He has also contributed 3 chapters to books published by Springer. He has several papers in international journals and conferences to his credit. He has 15 years of teaching and research experience. He is currently Assistant Professor, Department of Electronics and Communication Engineering, National Institute of Technology, Trichy, India and co-ordinator for Pattern recognition and computational intelligence laboratory. His research interests include  pattern recognition, digital signal processing and computational intelligence. The India International Friendship Society  (IIFS) has awarded him the ¿Shiksha Rattan Puraskar Award¿ for his meritorious services in the field of education. He was awarded  with the "Glory of India Gold Medal" by International Institute of Success Awareness. He was also awarded with "Best Citizens of India 2013" by The International Publishing House.

Sampling and Reconstruction of the Signals.- Infinite Impulse Response (IIR) Filter.- Finite Impulse Response Filter (FIR Filter).- Multi-rate Digital Signal Processing.- Statistical Signal Processing.- Selected Applications in Multidisciplinary Domain.