A scalable architecture for event-based cross-correlation

Jonathan Tapson, C. Jin, A. Van Schaik

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

3 Citations (Scopus)

Abstract

We present an architecture for a bio-inspired circuit that implements a wide-range cross-correlation. The circuit implements a stochastic approximation to mathematical cross-correlation. The basic circuit element is a noise-driven oscillator consisting of an integrator, a Schmitt inverter, and a switch which switches between the two signals to be cross-correlated. These elements can be developed into an NxN array which extends the cross-correlation range and improves the speed and accuracy of the approximation.

Original languageEnglish
Title of host publicationConference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
Pages83-86
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventIEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007 - Montreal, QC, Canada
Duration: 27 Nov 200730 Nov 2007

Publication series

NameConference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007

Conference

ConferenceIEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
Country/TerritoryCanada
CityMontreal, QC
Period27/11/0730/11/07

Keywords

  • Cross-correlation
  • Parallel correlation
  • Stochastic processing

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