spectral analysis of a signal

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vsee 2011-4-7

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Hello

I have a situation. I have a signal stored in a .csv file. The sample interval is 2us which means a sample taken every 2 micro seconds. I have a million samples in the file. Essentially the signal is in the time domain (x(t) vs t). I have to acquire the spectrum of the signal to analyze it. Can anyone please explain how to do this?

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Answer 1

Honglei Chen 2011-4-7

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在 MATLAB Online 中打开

You can use cvsread to read the signal into MATLAB first. If you have Signal Processing Toolbox, I'll suggest you to use spectrum object to compute the spectrum. See

>> help spectrum

for detailed help. If you do not have Signal Processing Toolbox, then you may need to use fft to compute the spectrum. Given you have a large data set, you may want to divide your data into segments, compute the spectrum and then average them.

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Honglei Chen 2011-4-8

If you do not know which frequency your signal is at, then plotting PSD is a good way to find out roughly where it is. You can then try to design a filter to filter out the noise that is out of interested band. You can use either fdesign or fdatool to design the filter. The details of these tools can be found using

>> doc fdesign

>> doc fdatool

vsee 2011-4-18

I plotted the fft and the psd of the signal I have. Here is the link to the plot.

http://www.yorkphoto.com/york/slideshow/AlbumID=3615814002/PictureID=206725940002/a=100160453_100160453/

Although I don't see a peak in the fft plot, the psd plot does show a peak and then rolls off. Should I design a low pass filter to this spectrum to filter out the noise? If yes, how do I find out what my cutoff frequencies should be? Thanks again.

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