Low-power frequency selective filtering

Renfei Liu, Keshab K. Parhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Supply voltage overscaling has been studied recently for the design of low power finite impulse response (FIR) filters, where the supply voltage is deliberately scaled beyond the critical voltage so as to lower the power consumption quadratically. The violation of timing constraint leads to computational errors/noise, which is then reduced via prediction-based algorithms. In this paper, we first propose an estimation-based algorithm aiming at accuracy maximization. Then, practical design issues are addressed and the major problem that causes performance drop is identified, which leads to a novel flexible twophase bilateral estimation-based noise reduction architecture with the use of error-delay detection mechanism that enables the flexible size estimator. Compared to conventional designs, simulation results show that the estimation-based algorithm and the two-phase bilateral estimation algorithm improve the noise reduction performance by 10-20dB and 17-22dB while achieving the same power saving ratio, respectively. Alternatively, the proposed algorithms can achieve lower power while a certain performance requirement is satisfied.

Original languageEnglish (US)
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Number of pages4
StatePublished - 2009
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan, Province of China
Duration: May 24 2009May 27 2009

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310


Other2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Country/TerritoryTaiwan, Province of China


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