ksandric

public static double[,] KernelDensityEstimation(double[] data, double sigma, int nsteps)
        {
            // probability density function (PDF) signal analysis
            // Works like ksdensity in mathlab. 
            // KDE performs kernel density estimation (KDE)on one - dimensional data
            // http://en.wikipedia.org/wiki/Kernel_density_estimation

            // Input:	-data: input data, one-dimensional
            //          -sigma: bandwidth(sometimes called "h")
            //          -nsteps: optional number of abscis points.If nsteps is an

MaciejDobrowolski

package macko;

import javafx.beans.Observable;
import javafx.collections.FXCollections;
import javafx.collections.ObservableList;
import javafx.geometry.Pos;
import javafx.geometry.Side;
import javafx.scene.Cursor;
import javafx.scene.Node;
import javafx.scene.chart.Axis;

bellbind

#
# Get web page screenshot
#
# usage:
#   xvfb-run -s "-screen 0 1024x768x24" python getschreenshot.py test.html
#
# libs:
# - pygtk: http://www.pygtk.org/
# - pywebkitgtk(python-webkit): http://code.google.com/p/pywebkitgtk/
# - PIL: http://www.pythonware.com/products/pil/