Title :
Energy efficient Digital Signal Processing
Author :
Magotra, Neeraj ; Larimer, Jim
Author_Institution :
Dept. of Electr. & Comput. Eng., Western New England Coll., Springfield, MA, USA
Abstract :
This paper focuses on issues related to energy efficient Digital Signal Processing (DSP) - taking a Systems-to-Silicon approach. This implies that achieving maximum energy efficiency in a DSP system is a distributed task from the systems level (compilers, algorithm design etc.) to a silicon (transistor, process technologies etc.) level. It addresses how we view this problem and also uses specific application areas such as hearing devices and medical imaging to illustrate the needs and concepts involved in this context.
Keywords :
energy conservation; power aware computing; signal processing; energy efficient digital signal processing; maximum energy efficiency; systems-to-silicon approach; transistor; Algorithm design and analysis; Batteries; Computer architecture; Digital signal processing; Digital signal processing chips; Energy consumption; Energy efficiency; Frequency; Signal processing algorithms; Silicon;
Conference_Titel :
Circuits and Systems (MWSCAS), 2010 53rd IEEE International Midwest Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-7771-5
DOI :
10.1109/MWSCAS.2010.5548827
