title: Note: Sensitivity enhancement in continuous-wave electron paramagnetic resonance: adaptive signal averaging versus a moving average.
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.
authors.affiliation: Department of Electrical and Computer Engineering, The College of New Jersey, P.O. Box 7718, Ewing, New Jersey 08628-0718, USA.
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Brinton
authors.forename: Donald J
authors.initials: DJ
authors.lastname: Hirsh
mesh_terms: D000465:Algorithms; D004578:Electron Spin Resonance Spectroscopy / Q000379:methods*; D016018:Least-Squares Analysis; D013223:Statistics as Topic / Q000379:methods*