Adaptive-degree polynomial filter for data script description:
Adaptive-degree polynomial filter for data is a Matlab script for Signal Processing scripts design by Jianwen Luo.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris. Adaptive-degree polynomial filter for data - Adaptive-degree polynomial filter (Savitzky-Golay Filter) for data differentiation (1st derivative).
Publisher review: Adaptive-degree polynomial filter for data - Adaptive-degree polynomial filter (Savitzky-Golay Filter) for data differentiation (1st derivative). Commonly, the degree of the fitting polynomial for the Savitzky-Golay filter is fixed. However, the polynomial degree can vary according to the sum of squares of fitting residuals and the statistical testing to obtain the adaptive-degree polynomial filter. This function obtains the polynomial degree (output: polynomial_degree) selected in the adaptive-degree polynomial filter (Savitzky-Golay filter)for the data subset of length 2M 1 (intput: data_frame).Usage:Run Pkmi_Calculate first to obtain the numerical table of gram polynomials so as to accelerate the calculation. And See the demo of above-mentionded function of data smoothing for reference. Requirements: ยท MATLAB Release: R13SP1 Operating system: Windows / Linux / Mac OS / BSD / Solaris
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Adaptive-degree polynomial filter for data script details 
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