LTPDA Toolbox™

contents

Method ao/getKSCValPSD

  getKSCValPSD provides critical value for KStest on the PSD
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
  DESCRIPTION: The method provides critical value for KStest on the PSD.
  Critical values are read from look-up tables that are calculated with
  5000 iteration Monte Carlo simulations.
  
  Note that the method has some imortant limitations:
  i)   It works only for BH92 window.
  ii)  Number of samples is limited in the range 50000 - 100.
  iii) Number of averages is limited in the range 0 - 32.
  iv)  Possible confidence values required are 0.5, 0.683, 0.955, 0.99,
       0.997, 0.999.
  v)   It assumes to deal with normalized or white noise spectra. Tthe
       spectrum can be normalized if divied by a smooth model
       representative of its expectation value. I.e. If Sn is the data
       spectrum and S a smooth model, then normS = Sn./S.
       In the case of data vs data test the two spectra must be normalized
       with the same model. Such model has to be representative of the
       expectation value for at least one of the two spectra.
 
  CALL:         For testing data vs model:
                cVal = getKSCValPSD(a1, pl)
  
                For testing data vs data
                cVal = getKSCValPSD(a1, a2, pl)
  
  INPUT:        ai: are frequency series AO containing the PSDs that will
                be tested with the KStest
  
  OUTPUT:       cVal: is the critical vale that should be used in the
                KStest.
 
 
  Parameters Description
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Parameter Description

back to top

Method: ao/getAbsTimeRange

Method: ao/getdof

©LTP Team