Analytical estimation of transition activity from word-level signal statistics

  • Authors:
  • Sumant Ramprasad;Naresh R. Shanbhag;Ibrahim N. Hajj

  • Affiliations:
  • Dept. of Computer Science, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL;Dept. of Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL;Dept. of Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL

  • Venue:
  • DAC '97 Proceedings of the 34th annual Design Automation Conference
  • Year:
  • 1997

Quantified Score

Hi-index 0.00

Visualization

Abstract

Presented here is an analytical methodologyto determine the average signal activity, T, from the high-levelsignal statistics, a statistical signal generation model,and the signal encoding.Simulation results for 16 bit signalsgenerated via AR(1) and MA(1) models indicate anestimation error in T of less than 2%.The applicationof the proposed method to the estimation of T in DSPhardware is also explained.