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Adaptation of log domain second order filters implemented by floating gate MOSFETs

  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We describe an adaptive log domain second order filter with integrated learning rules. The system is implemented using multiple input floating gate transistors to realize on-line learning of quality factor and time constant. We use adaptive dynamical system theory to derive robust control laws for both quality factor and time constant adaptation in a system identification task. The log domain filters adapt to estimate the quality factor and time constant of a reference filter accurately and efficiently as the parameters of the reference are changed. We present simulation results for 0.5μm technology which demonstrate that adaptation occurs within milliseconds. The filter consumes 2μW and the entire system consumes 10μW.

Original languageEnglish
Title of host publication2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005
Pages79-82
Number of pages4
DOIs
StatePublished - 2005
Event2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005 - Cincinnati, OH, United States
Duration: Aug 7 2005 → Aug 10 2005

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2005
ISSN (Print)1548-3746

Conference

Conference2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005
Country/TerritoryUnited States
CityCincinnati, OH
Period08/7/05 → 08/10/05

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