Real time exponentially weighted recursive least squares adaptive signal averaging for enhancing the sensitivity of continuous wave magnetic resonance

C. J. Cochrane, Patrick M. Lenahan

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This study involves the use of adaptive signal processing techniques to improve the sensitivity of continuous wave electrically detected magnetic resonance. The approach should be of widespread utility in continuous wave magnetic resonance experiments of all kinds. We utilize adaptive signal averaging to expedite the averaging process usually performed in magnetic resonance experiments. We were capable of reducing the noise variance in a single trace by a factor of 11.3 which is equivalent to reduction in time by the same factor. This factor can be quite significant especially when signal averaging must be performed over the span of many hours to days. This technique may also be tailored to conventional electron spin resonance experiments and other techniques where signal averaging is utilized. The approach may offer promise in the eventual development of spin based quantum computing.

Original languageEnglish (US)
Pages (from-to)17-22
Number of pages6
JournalJournal of Magnetic Resonance
Volume195
Issue number1
DOIs
StatePublished - Nov 1 2008

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Magnetic resonance
Least-Squares Analysis
continuous radiation
magnetic resonance
Magnetic Resonance Spectroscopy
sensitivity
Experiments
Electron Spin Resonance Spectroscopy
quantum computation
Paramagnetic resonance
Noise
signal processing
electron paramagnetic resonance
Signal processing

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Biochemistry
  • Biophysics
  • Condensed Matter Physics

Cite this

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