A Pragmatic Introduction to Signal Processing: with applications in scientific measurement
Citations
63 citations
Cites methods from "A Pragmatic Introduction to Signal ..."
...The Gaussian fitting was done with PeakFit -function from O’Haver [30]....
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58 citations
52 citations
Cites methods from "A Pragmatic Introduction to Signal ..."
...…the diopside spectra were resolved into a series of individual Gaussian curves either by hand or using the peak-fitting program peakfit.m in MATLAB (O’Haver 2015) using fixed positions that were chosen based on previous knowledge of where to expect prominent peaks (Skogby et al. 1990) and to…...
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...After baseline subtraction, the diopside spectra were resolved into a series of individual Gaussian curves either by hand or using the peak-fitting program peakfit.m in MATLAB (O’Haver 2015) using fixed positions that were chosen based on previous knowledge of where to expect prominent peaks (Skogby et al. 1990) and to provide some consistency between these two samples....
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48 citations
Cites methods from "A Pragmatic Introduction to Signal ..."
...Peaks were chosen using the peakfit function for MATLAB® (O'Haver, 2018, pp. 340–358), fitting the (130) peak with a single Gaussian and the doublet containing the (112) and (131) peaks with two equal‐width Gaussians....
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...Best fit values for all parameters aside from γ were obtained using a nonlinear optimization routine in the MATLAB® optimization toolbox to minimize the misfit between measured and predicted stresses....
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42 citations
Cites methods from "A Pragmatic Introduction to Signal ..."
...For segmentation, a peak detection method developed by [17] was applied to the knee flexion angle....
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References
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