Adaptive-degree polynomial filter for data Matlab script

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    Specification

  • Version:
  • File size: 0 KB
  • File name: adpf_diff.zip
  • Last update:
  • Platform: Windows / Linux / Mac OS / BSD / Solaris
  • Language: Matlab
  • Price:Freeware
  • Company: Jianwen Luo (View more)

Adaptive-degree polynomial filter for data script description:




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
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).

Operating system:
Windows / Linux / Mac OS / BSD / Solaris

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