An improved adaptive signal averaging technique for noise reduction and tracking enhancements in continuous wave magnetic resonance

Brian R Manning; Corey J Cochrane; Patrick M Lenahan

doi:10.1063/1.5123600

An improved adaptive signal averaging technique for noise reduction and tracking enhancements in continuous wave magnetic resonance

Rev Sci Instrum. 2020 Mar 1;91(3):033106. doi: 10.1063/1.5123600.

Authors

Brian R Manning¹, Corey J Cochrane², Patrick M Lenahan¹

Affiliations

¹ The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
² The Pennsylvania State University, University Park, Pennsylvania 16802, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA.

PMID: 32259961
DOI: 10.1063/1.5123600

Abstract

We have significantly refined an adaptive signal averaging approach developed primarily for continuous wave electron paramagnetic resonance and electrically detected magnetic resonance measurements. This refinement overcomes several limitations and greatly simplifies the earlier approach. The new technique provides a large improvement in tracking and numerical stability and also features fewer adjustable parameters making this approach more user intuitive.