Read more
Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing. This will help the reader to gain a general overview of the whole subject and establish links between the various fundamental concepts.
While the focus of this book is on the fundamentals of signal processing, the understanding of these topics greatly enhances the confident use as well as further development of the design and analysis of digital systems for various engineering and medical applications. Applied Signal Processing also prepares readers to further their knowledge in advanced topics within the field of signal processing.
About the author
Sadasivan Puthusserypady received his B.Tech degree in Electrical Engineering (1986) and the M.Tech degree in Instrumentation and Control Systems Engineering (1989) from the University of Calicut, India. In 1995, he obtained his Ph.D. degree in Electrical Communication Engineering from the Indian Institute of Science, Bangalore, India. He was a Research Associate at the Department of Psychopharmacology, NIMHANS, Bangalore, India, during 1993-1996. From 1996 to 1998, he was a Postdoctoral Research Fellow at the Communications Research Laboratory, McMaster University in Hamilton, Ontario, Canada. In 1998, he joined Raytheon Systems Canada Ltd.,Waterloo, Ontario, as a Senior Systems Engineer. In 2000, he moved to the National University of Singapore and worked as an Assistant Professor in the Department of Electrical and Computer Engineering until 2009. Currently, he is an Associate Professor at the Department of Electrical Engineering, Technical University of Denmark, Denmark. His research interests are in Biomedical Signal Processing, Brain-Computer Interfaces (BCIs) and Home Health Care systems.
