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Rev

$\begingroup$ Thank you for your answer. I have a Microsoft Excel file recieved from digital oscilloscope in field conditions. This file contains 4000 points (voltage-time curve) and I don’t even know should I approximate this data, and if I should, how can I done this task. The signal is nonstationary, so I can’t use Fourier Transform to get the correct frequency spectrum. Thus I should use Wavelet Transform to get amplitudes of every frequency component from my voltage-time curve. But I don’t know how. $\endgroup$

Ivan
– Ivan

2014-01-14 19:51:32 +00:00
Commented Jan 14, 2014 at 19:51
$\begingroup$ I know exactly that my curve contains kHz-range components. Does this information influence on choosing an appropriate wavelet family (Morlet, Gabor, Mexican Hat, etc.)? $\endgroup$

Ivan
– Ivan

2014-01-14 19:52:03 +00:00
Commented Jan 14, 2014 at 19:52
$\begingroup$ Can you post a link to the data ? $\endgroup$

Sektor
– Sektor

2014-01-14 20:24:40 +00:00
Commented Jan 14, 2014 at 20:24
$\begingroup$ fileconvoy.com/… $\endgroup$

Ivan
– Ivan

2014-01-14 20:30:14 +00:00
Commented Jan 14, 2014 at 20:30
$\begingroup$ @Ivan You should try to update your question explaining all you know about your data, all you have tried to do in Mathematica to process it, what you expect to get, etc. Perhaps I'll be able to update my answer in 2 or 3 days since I'm in a business trip. When you give a clear exposition of the issue we'll take a closer look at your question and expectedly be able to provide a more detailed answer. You should know that signal processing capabilities of Mathematica are relatively new so there are rather few experts in this field. Nonetheless we'll try to help. $\endgroup$

Artes
– Artes

2014-01-15 00:15:47 +00:00
Commented Jan 15, 2014 at 0:15

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