data smoothing

Smoothing Cubic Splines

Posted on by Paul Shirkey
Cubic smoothing splines embody a curve fitting technique which blends the ideas of cubic splines and curvature minimization to create an effective data modeling tool for noisy data. Traditional interpolating cubic splines represent the tabulated data as a piece-wise continuous curve which passes through each value in the data table. The curve spanning each data interval is represented by a cubic p...
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Nevron Partnership

Posted on by Paul Shirkey
All of us at CenterSpace software are proud to announce a partnership with Nevron, leaders in data visualization. Nevron builds .NET components which enable developers to quickly build clean, enterprise quality, user interfaces incorporating well rendered maps, gauges, diagrams, or charts. Nevron has built it's visualization framework with the developer in mind and has created components that a...
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Savitzky-Golay Smoothing in C#

Posted on by Paul Shirkey
Savitzky-Golay smoothing effectively removes local signal noise while preserving the shape of the signal. Commonly, it's used as a preprocessing step with experimental data, especially spectrometry data because of it's effectiveness at removing random variation while minimally degrading the signal's information content. Savitzky-Golay boils down to a fast (multi-core scaling) correlation operati...
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