2018
DOI: 10.1016/j.rinp.2018.08.033
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Nyquist-Shannon theorem application for Savitzky-Golay smoothing window size parameter determination in bio-optical signals

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Cited by 18 publications
(9 citation statements)
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“…For example, in fraction SEC 12, the first derivative can be shown to form a sharper local maximum for both C-Pc and APC than that of original graph. This is due to the points number, which produces deeper local minima in fast-changing signals in a certain interval of wavelengths [25][26][27]. This can lead to higher-order spectral derivatives, producing new and deeper local minima (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…For example, in fraction SEC 12, the first derivative can be shown to form a sharper local maximum for both C-Pc and APC than that of original graph. This is due to the points number, which produces deeper local minima in fast-changing signals in a certain interval of wavelengths [25][26][27]. This can lead to higher-order spectral derivatives, producing new and deeper local minima (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…The length of the moving window in this study is determined aswhere f s is the sampling frequency, f 1 is the fundamental frequency of the responses. The determination of l is based on the Nyquist–Shannon sampling theorem (Shannon, 1949; Romo-Cárdenas et al, 2018), that is, the sampling frequency should be larger than or equal to twice of the largest frequency of the dynamic system. However, the sampling frequency of the measured responses of the beam is set before the dynamic tests.…”
Section: Methodsmentioning
confidence: 99%
“…The optimization of details and intensity needs repeated modification. [13][14][15]17,18 In return, SG performs better than the others.…”
Section: ■ Introductionmentioning
confidence: 99%