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mssm22

Germany
10 Posts
Posted - 01/01/2013 :  5:45:38 PM  Show Profile  Edit Topic  Reply with Quote  View user's IP address  Delete Topic
Origin Ver. and Service Release (Select Help-->About Origin):
Operating System:

origin 8.6G on windows XP

Hi,

I divided a large data set into smaller ones of 16384 points. Next I want to calculate the power spectrum of each of the data sets. Since I have 20 of such smaller sets, it is time consuming to every time access the drop down menu and choose FTT and so on. I tried to choose all the sets (columns) as input in the FTT dialog box. Yet instead of getting 20 spectra, I end up with one spectrum. Origin just sums the data sets once again into one set! Is there a way around that

Thanks in advance

greg

USA
1378 Posts
Posted - 01/02/2013 :  10:02:23 AM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
You could use a LabTalk script...

Assuming your data is organized as one X column and multiple Y columns, your script could look like:

loop(ii,2,wks.ncols)
{
fft1 ix:=1!$(ii) norma:=1 re:=0 im:=0 ap:=0 ri:=0 mag:=0 db:=0 rt:=<optional>;
}

Consult the X-Function documentation for help with the fft1 options. The above example only outputs Frequency and Power for each Y column.
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easwar

USA
1964 Posts
Posted - 01/02/2013 :  5:58:19 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
Hi,

If you are really looking to see how the frequency spectrum changes with time slices, you may want to also consider the STFT tool, which is available in OriginPro:
http://originlab.com/index.aspx?go=Products/Origin/DataAnalysis/SignalProcessing/STFT

Easwar
OriginLab
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mssm22

Germany
10 Posts
Posted - 01/02/2013 :  7:32:42 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
thanks, that worked well.
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mssm22

Germany
10 Posts
Posted - 01/02/2013 :  7:39:19 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
@ easwar

Thanks for the tip. I will try that as well.

Regards
M
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