Michael Thomas Flanagan's Java Scientific Library List of Data Smoothing Classes

Last update: 16 March 2012                                                                                                                              Main Page of Michael Thomas Flanagan's Java Scientific Library

This page lists all the data smoothing classes in this library with brief descriptions:

• CurveSmooth: One Dimensional Smothing, i.e. Curve Smoothing
  
• SurfaceSmooth: Two Dimensional Smothing, i.e. Surface Smoothing
  
• ThreeDimensionalSmooth: Three Dimensional Smothing
  
• Related class: Regression
  

Brief descriptions

• CurveSmooth: One Dimensional Smothing, i.e. Curve Smoothing
  This class contains methods for smoothing one dimensional data, i.e. a curve, y = f(x). A choice of smoothing method is offered:
  
  • Savitzky-Golay filter smoothing
    
    • Smoothed data
    • Smoothed derivatives dⁿy/dxⁿ
  • Moving average window smoothing
    
    • Smoothed data
  The class also contains methods for:
  • Interpolation within the smoothed data
  • finding all the minima of both unsmoothed and smoothed data
  • finding all the maxima of both unsmoothed and smoothed data
    
  Full details plus link to source code.
  
  
• SurfaceSmooth: Two Dimensional Smothing, i.e. Surface Smoothing
  This class contains methods for smoothing two dimensional data, i.e. a surface, z = f(x, y). A choice of smoothing method is offered:
  
  • Savitzky-Golay filter smoothing
    
    • Smoothed data
    • Smoothed derivatives,   
      
  • Moving average window smoothing
    
    • Smoothed data
  The class also contains methods for:
  • Interpolation within the smoothed data
    
  Full details plus link to source code.
  
  
• ThreeDimensionalSmooth: Three Dimensional Smothing
  This class contains methods for smoothing three dimensional data, v = f(x, y, z). A choice of smoothing method is offered:
  
  • Savitzky-Golay filter smoothing
    
    • Smoothed data
    • Smoothed derivatives,   
      
  • Moving average window smoothing
    
    • Smoothed data
  The class also contains methods for:
  • Interpolation within the smoothed data
    
  Full details plus link to source code.
  
  
• Related class: Regression
  This class contains a several linear and nonlinear regression data fitting methods. This class allows the users to either fit their data to a model that they provide or to one of a range of models supplied within the Regression class.
  Full details plus link to source code.
  
  

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This page was prepared by Dr Michael Thomas Flanagan

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