From: Luna Moon on 11 Jun 2010 14:13 Hi all, I have signals that are very chaotic and choppy. I suspect that there are quite a bunch of major and minor cycles inside. What's the best way to detect and single out those cycles? Any Matlab code around? Thanks a lot!
From: Jerry Avins on 11 Jun 2010 14:24 On 6/11/2010 2:13 PM, Luna Moon wrote: > Hi all, > > I have signals that are very chaotic and choppy. I suspect that there > are quite a bunch of major and minor cycles inside. What's the best > way to detect and single out those cycles? FFT? > Any Matlab code around? Sure! Jerry -- Engineering is the art of making what you want from things you can get. �����������������������������������������������������������������������
From: Luna Moon on 11 Jun 2010 15:05 On Jun 11, 2:24 pm, Jerry Avins <j...(a)ieee.org> wrote: > On 6/11/2010 2:13 PM, Luna Moon wrote: > > > Hi all, > > > I have signals that are very chaotic and choppy. I suspect that there > > are quite a bunch of major and minor cycles inside. What's the best > > way to detect and single out those cycles? > > FFT? > > > Any Matlab code around? > > Sure! > > Jerry > -- > Engineering is the art of making what you want from things you can get. How? I am looking for a complete solution...
From: Vladimir Vassilevsky on 11 Jun 2010 15:10 Luna Moon wrote: > Hi all, > > I have signals that are very chaotic and choppy. I suspect that there > are quite a bunch of major and minor cycles inside. What's the best > way to detect and single out those cycles? > > Any Matlab code around? > > Thanks a lot! Wow, what a cretin!
From: Wayne King on 11 Jun 2010 15:24 Luna Moon <lunamoonmoon(a)gmail.com> wrote in message <c21a84b3-17fd-4791-9fb1-c856b043f368(a)f7g2000vbl.googlegroups.com>... > Hi all, > > I have signals that are very chaotic and choppy. I suspect that there > are quite a bunch of major and minor cycles inside. What's the best > way to detect and single out those cycles? > > Any Matlab code around? > > Thanks a lot! Hi Luna, if you have the Signal Processing Toolbox, the spectrum objects are a quick way to get a spectral estimate. For example: % Sampling frequency 1 kHz Fs = 1000; t = 0:1/Fs:1; x = cos(2*pi*60*t)+0.5*cos(2*pi*120*t)+randn(size(t)); H = spectrum.periodogram('Hamming'); plot(psd(H,x,'Fs',Fs)); Hope that helps, Wayne
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