A micropower programmable DSP using approximate signal processing based on distributed arithmetic

  • Amirtharajah R
  • Chandrakasan A
  • 25

    Readers

    Mendeley users who have this article in their library.
  • 38

    Citations

    Citations of this article.

Abstract

Jiawei 11 A recent trend in low-power design has been the employment of reduced precision processing methods for decreasing arithmetic activity and average power dissipation. Such designs can trade off power and arithmetic precision as system requirements change. This work explores the potential of distributed arithmetic (DA) computation structures for low-power precision-on-demand computation.We present an ultralow-power DSP which uses variable precision arithmetic, low-voltage circuits, and conditional clocks to implement a biomedical detection and classification algorithm using only 560 nW. Low energy consump- tion enables self-powered operation using ambient mechanical vibrations, converted to electric energy by a MEMS transducer and accompanying power electronics. The MEMS energy scav- enging system is estimated to deliver 4.3 to 5.6 W of power to the DSP load

Author-supplied keywords

  • Digital signal processing (DSP)
  • Distributed arithmetic
  • Energy scavenging
  • Low power

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • Rajeevan Amirtharajah

  • Anantha P. Chandrakasan

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free