Titre:
Energy Efficient Digital Signal Processing Systems
Conférencier:
Dr. Neeraj Magotra ,
Texas Instruments Inc
Lieu:
École Polytechnique de Montréal ,
Batiment principal, salle A-522
Date et heure:
jeudi le 23 janvier 2003 de
13:00 à 00:00
Résumé:
As we fast forward into the 21st century we are transitioning into the Internet communication era. Many of the customer (end-user) ‘terminals’ are hand held battery operated devices such as cell phones, PDA’s etc. This implies that energy efficient DSP system design is no longer simply the bailiwick of ‘boutique’ system designers in areas such as biomedical signal processing, but is becoming more main stream. Additionally, DSP systems are becoming more complex and integrating multiple functions. We can think of these systems as Application Specific Integrated Algorithms (ASIAs). The implication is that the DSP chip that will power these systems needs to be an energy efficient high-performance engine. Texas Instrument’s TMS320C55x family of DSP chips has been designed to satisfy this dual requirement – energy efficient high performance. On the other hand for many applications more concerned with low power and extended battery life, there are products such as our MSP430 processors.
In the context of Texas Instrument’s strategy for providing signal processing solutions for a wide variety of real-world applications, this presentation will focus on issues related to energy efficient Digital Signal Processing (DSP). What is proposed is a Systems-to-Silicon approach. This implies that achieving energy efficiency in a DSP system is a distributed task from the systems level (compilers, algorithm design etc.) to a silicon (process technologies etc.) level. It will address how we view this problem and also focus on hearing solutions – headsets, hearing aids and cochlear implants.
Note biographique:
Neeraj Magotra was born in Jamshedpur, India on December 5 1958. He obtained his B. Tech. in Electrical Engineering from the Indian Institute of Technology(Bombay, India) in 1980, his M.S in Electrical Engineering from Kansas State University in 1982 and his PhD in Electrical Engineering from the University of New Mexico in 1986. From 1987 until 1990 he held a joint appointment with Sandia National Laboratories and the department of Electrical and Computer Engineering (EECE) at the University of New Mexico, Albuquerque, New Mexico. From 1990 through 1999 he was employed as an Associate Professor in the EECE Department at the University of New Mexico. Since 2000 he has been employed by Texas Instruments Incorporated (Houston, TX) in various capacities, currently managing the Energy Efficient DSP Systems (EEDS) group.
He has been involved in digital signal/image processing (DSP) research in the areas of seismic, speech, biomedical and radar signal processing for the past fifteen years. He has served as past associate editor of the IEEE transactions on Signal Processing and served on the organizing committee of several IEEE conferences. He is a member of Sigma Xi, Phi Kappa Phi, Tau Beta Pi, and the Institute of Electrical and Electronics Engineers (IEEE). He has authored/co-authored over ninety technical articles including journal papers, conference papers and technical reports. He has taught short courses in the areas of general and applied DSP.