Related Experiment Video
Updated: Jun 3, 2026

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
Published on: January 18, 2022
Removing spurious signals from glow curves using an optimal Wiener filter
J W E van Dijk1, H Stadtmann, T W M Grimbergen
1Prinses Marielaan 17, Amersfoort, The Netherlands. jwe.van.dijk@xs4all.nl
Abstract:
During readout, the signal of the TLD is occasionally polluted with spurious signals. These most often take the shape of a spike on the glow curve. Often these spikes are only a few milliseconds wide but can have a height that significantly influences the outcome of the dose evaluation. The detection of spikes relies generally on comparing the raw glow curve with a smoothed version of it. A spike is detected when the height of the glow curve exceeds that of the smoothed curve, using criteria based on the absolute and relative differences. The procedure proposed is based on smoothing by an optimal Wiener filter, which is, on its turn, based on Fourier analysis for which numerically very efficient methods are available. Apart from having easy to understand tuning parameters, an attractive bonus is that, with only little additional computational effort, estimates of the position of peak maxima are found from second and third derivatives: a useful feature for glow curve quality control.
Related Concept Videos
Reconstruction of Signal using Interpolation
Basic signals of Fourier Transform
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at zero. It...
Signal Flow Graphs
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
Sampling Continuous Time Signal
In the...
Amplifying Signals via Enzymatic Cascade
Even and Odd Signals