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Updated: Jun 15, 2026

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
Note: Sensitivity enhancement in continuous-wave electron paramagnetic resonance: adaptive signal averaging versus a
Christopher G Brinton1, Donald J Hirsh
1Department of Electrical and Computer Engineering, The College of New Jersey, P.O. Box 7718, Ewing, New Jersey 08628-0718, USA.
Abstract:
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.
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