#                    kcsd README
#
# NOTE: Add this folder (that is the folder where you found this file) to your Matlab path 
#
# NOTE: For compatibility with Octave this code uses old matlab 
#       class system (without classdef)
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1.Create class instance:
  k = kcsd(src_grid, out_grid, base_grid, V, sigma, ...optional parameters...);
    where:
    src_grid - electorde posiions
    out_grid - list of point you want to estimate CSD
    base_grid - centers of your base functions
    V- measurements performed in points from src_grid
    sigma - width of base fuction
  
2.(OPTIONAL) In case you want to use make noise reduction and avoid over-fitting run:
  k = chooseRegParam(k, ...optional parameters...);

3.Run computations and estimate CSD
  k = k.estimate()

4.Get your data (CSD) in following way
  k.CSD

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#
# NOTE :For descriptions of optional parameters check the following:
#  kcsd.m (for point 1)
#  chooseRegParam.m (for point 2)
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#                        GL & HF
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