Title :
Low power filtering using approximate processing for DSP applications
Author :
Ludwig, Jeffrey T. ; Nawab, S. Hamid ; Chandrakasan, Anantha
Author_Institution :
Res. Lab. of Electron., MIT, Cambridge, MA, USA
Abstract :
The growing demand for portable multimedia devices has placed increased importance on low power solutions for DSP tasks such as filtering and source coding. An approach to power reduction in digital CMOS filter design using approximate processing is presented. This involves adaptively reducing the number of operations switched per sample based on signal statistics. Speech filtering examples demonstrate that power consumption can be reduced over conventional solutions by an order of magnitude for wireless applications
Keywords :
CMOS digital integrated circuits; digital filters; digital signal processing chips; signal sampling; speech processing; DSP applications; approximate processing; digital CMOS filter design; low power filtering; power consumption reduction; power reduction; signal statistics; speech filtering; wireless applications; CMOS process; Digital filters; Digital signal processing; Energy consumption; Filtering; Power filters; Process design; Source coding; Speech; Statistics;
Conference_Titel :
Custom Integrated Circuits Conference, 1995., Proceedings of the IEEE 1995
Conference_Location :
Santa Clara, CA
Print_ISBN :
0-7803-2584-2
DOI :
10.1109/CICC.1995.518164
