The restrictions associated with FFT that Ehlers mentions can be found in any 
textbook.  As for better results with FFT, the next step is to evaluate the 
cycles statistically (e.g., Bartels, F-ratio, chi-square, etc.).  Beyond that 
one can go to MESA and such.

Bill
  ----- Original Message ----- 
  From: Ton Sieverding 
  To: [email protected] 
  Sent: Monday, March 26, 2007 2:58 AM
  Subject: Re: [amibroker] FFT


  Frankly for me these are John Ehlers typical arguments to use his MESA model 
in stead of FFT and has nothing to do with a discussion. The question for me 
still remains if there really is no way to get better results with FFT than the 
ones we have got ? If Fourier analysis is correct and it's possible to simulate 
whatever continues timeseries with a bunch of sinewaves and if MESA can give me 
the correct harmonics, it should also be possible to obtain the same results 
with a modified version of FFT. Question is how ?

  Ton Sieverding.

    ----- Original Message ----- 
    From: wavemechanic 
    To: AmiBroker, User 
    Sent: Monday, March 26, 2007 1:27 AM
    Subject: Re: [amibroker] FFT



    There is a discussion of FFT use and problems on Ehlers MESA website:

    http://www.mesasoftware.com/fftcomparison.htm

    Bill

    ----- Original Message ----- 
      From: Ara Kaloustian 
      To: AB-Main 
      Sent: Sunday, March 25, 2007 3:16 PM
      Subject: [amibroker] FFT


      I was playing with AB's FFT code that TJ provided...

      The cycles seem to shift relative to the data, based on how many data 
points are analyzed. This is of course expected.

      Question:

      Has anyone found a way to determine optimum number of data points to 
analyze, and then determine the relevance of the dominant cycle, or find any 
relevant cycles?

      Most of the time the dominant cycle seems to be the largest one 
available. 

      Has anyone been able to use these cycles succesfully?

      Ara 


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