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.
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.
This record was last updated on 01/12/2018 and may not reflect the most current and accurate biomedical/scientific data available from NLM.
The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/20192519