Note: Sensitivity enhancement in continuous-wave electron paramagnetic resonance: adaptive signal averaging versus a moving average

Rev Sci Instrum. 2010 Feb;81(2):026102. doi: 10.1063/1.3293381.


We compare improvements in signal-to-noise in continuous-wave electron paramagnetic resonance (CW EPR) spectra resulting from adaptive signal averaging and a simple moving average. An adaptive filter module that uses a recursive least-squares (RLS) algorithm was incorporated into a CW EPR data acquisition program. After optimization, the RLS filter produces a significant improvement in the signal-to-noise ratio over conventional digital signal (spectral) averaging alone. However, conventional averaging of spectra combined with a central moving average of the data points provided equal or greater signal-to-noise improvement in the CW EPR spectra.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Electron Spin Resonance Spectroscopy / methods*
  • Least-Squares Analysis
  • Statistics as Topic / methods*