2011
DOI: 10.1021/ed100984c
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Data Filtering in Instrumental Analyses with Applications to Optical Spectroscopy and Chemical Imaging

Abstract: Most measurement techniques have some limitations imposed by a sensor's signal-to-noise ratio (SNR). Thus, in analytical chemistry, methods for enhancing the SNR are of crucial importance and can be ensured experimentally or established via pretreatment of digitized data. In many analytical curricula, instrumental techniques are given preference as proper data generation is most important. Nonetheless, the ultimate goal is to utilize computational improvements as well and thus students need to be trained in da… Show more

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Cited by 7 publications
(3 citation statements)
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“…Some of the most popular filtering approaches in analytical chemistry are the moving average and polynomial filters, also known as Savitzky-Golay filters [9][10][11][12][13][14]. These filters are based on replacing the center point of a window that moves across the chromatogram with either the average, or the result of a local polynomial fit to the data within each window.…”
Section: Noise Reductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Some of the most popular filtering approaches in analytical chemistry are the moving average and polynomial filters, also known as Savitzky-Golay filters [9][10][11][12][13][14]. These filters are based on replacing the center point of a window that moves across the chromatogram with either the average, or the result of a local polynomial fit to the data within each window.…”
Section: Noise Reductionmentioning
confidence: 99%
“…Of most interest to users of comprehensive 2D-LC methods, both Fourier transform [14] and wavelet transforms [14,20] can be applied to two-dimensional data sets. However, to our knowledge neither of these methods have yet been applied to LC×LC datasets.…”
Section: Noise Reductionmentioning
confidence: 99%
“…This procedure is repeated a few thousand times from randomly selected starting pixels and accumulates a considerable number of endpoints in the true local minima. To prevent that noise influences this minima search too much, a 2D‐fast Fourier transform low‐pass filter has been applied to remove noise spikes. Zxy=a0+j=1JAjexp12Bj()xx0,j2+2Cjxx0,jyy0,j+Dj()yy0,j2…”
Section: Theorymentioning
confidence: 99%