Multi-Disciplinary Digital Signal Processing

Presents a multi-disciplinary approach to digital signal processing
Written using a functional approach with all techniques illustrated using Matlab
Pertinent to research scholars, electrical, electronics, computer science, mechanical, civil, and chemical engineers

Presents a multi-disciplinary approach to digital signal processing Written using a functional approach with all techniques illustrated using Matlab Pertinent to research scholars, electrical, electronics, computer science, mechanical, civil, and chemical engineers Includes supplementary material: sn.pub/extras

Autorentext
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.

Zusammenfassung
Presents a multi-disciplinary approach to digital signal processing
Written using a functional approach with all techniques illustrated using Matlab
Pertinent to research scholars, electrical, electronics, computer science, mechanical, civil, and chemical engineers

Inhalt
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.