EmptyC
Aug6-08, 10:16 AM
I am trying to transform some non-stationary data into the frequency domain to see if there are any under lying frequencies in the data. a sample of the data can be seen here:
Example 1 (http://www.geocities.com/uebermenchens/00805HR_TN_1.PNG)
Example 2 (http://www.geocities.com/uebermenchens/0148H10_TN_3.PNG)
Example 3 (http://www.geocities.com/uebermenchens/1016727-AL_3.PNG)
when i look at the data i see a "step" function. I don't know if the fourier transform is the way to go... and was wondering if there was a better transfom to use?
Mt
Example 1 (http://www.geocities.com/uebermenchens/00805HR_TN_1.PNG)
Example 2 (http://www.geocities.com/uebermenchens/0148H10_TN_3.PNG)
Example 3 (http://www.geocities.com/uebermenchens/1016727-AL_3.PNG)
when i look at the data i see a "step" function. I don't know if the fourier transform is the way to go... and was wondering if there was a better transfom to use?
Mt