Resource Constrained Signal Processing Algorithms and Architectures: A Holistic Approach

Current emerging applications in the areas of Wireless sensor networks, person-centric remote health monitoring and pervasive computing require sophisticated signal processing algorithms and their corresponding architectural implementation with low complexity, limited area and low power consumption. Being computationally intensive, direct architectural mapping of the traditional signal processing algorithms may not be suitable for such resource constrained applications. It necessitates further investigation into the contemporary signal processing techniques from the perspective of algorithm-architecture holistic optimization approach so that it would become suitable for such environment. This is the prime focus of this presentation. However an attempt will also be made to add a bigger perspective to the afore mentioned signal processing challenge so that it will go beyond the boundary of electrical and electronic engineering and open up opportunities of multidisciplinary research where engineering science, physics, chemistry, mathematics and biology will all be amalgamated together. To make this presentation more interactive and interesting, main focus will be given on explaining the underlying concepts of the proposed techniques with the help of diagrams and with the minimal use of mathematics. Finally the presentation will end highlighting the author’s ongoing research and vision for near future.

Author’s Bio-data: Amit Acharyya received the B.E. degree in Electronics and Communication Engineering from National Institute of Technology, Durgapur, India, in 2005 and joined National Centre for Radio Astrophysics, Tata Institute of Fundamental Research, Pune, India as a visiting researcher. In September, 2005 he joined Defence Research and Development Organisation (DRDO) as a scientist and worked in the VLSI Division of Advanced Numerical Research and Analysis Group (ANURAG) Laboratory at Hyderabad, India. In July, 2007 he joined Pervasive Systems Centre research group in the School of Electronics and Computer Science in the University of Southampton, U.K., as a visiting researcher and soon after he joined the same research group to pursue PhD. He submitted his PhD Thesis successfully in December, 2010 and presently he is a Research Fellow in the University of Southampton, UK. His research interests include signal processing algorithms, VLSI architectures, low power design techniques, computer arithmetic, numerical analysis, linear algebra, genomic and proteomic signal processing, bio-informatics and electronic aspects of pervasive computing.

Webpage: http://www.ecs.soton.ac.uk/people/aa07r