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Signal Analysis |
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| Aug17-12, 04:22 PM | #1 |
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Signal Analysis
1. The problem statement, all variables and given/known data
Hi , The problem is how to analysis this signal in terms of time segments to understnd the characteristics/pattern of this signal ![]() 2. Relevant equations There is no relevant equtions 3. The attempt at a solution I have tried to use : RMS Wavlet FFT But which one of them can give us a better understing of the system, Thanks, 1. The problem statement, all variables and given/known data 2. Relevant equations 3. The attempt at a solution |
| Aug17-12, 04:44 PM | #2 |
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Your problem statement is fairly unconstrained so--
For frequency analysis, consider making a spectrogram, a 3 dimensional graph (frequency vs amplitude vs time). For amplitude analysis, experiment with various moving average (RMS) plots. |
| Aug17-12, 06:05 PM | #3 |
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Recognitions:
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Presumably you have a data set that corresponds to the graph, and not just the graph alone? You might want to investigate the use of the Lomb-Scargle Periodogram method to tease out the underlying frequency components of the signal.
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| Aug18-12, 02:07 AM | #4 |
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Signal Analysis
Thanks for the response,
Well, I have applied frequency domain Matlab code: m=fft(x) n=length(x) power=abs(m(1:floor(n/2))).^2 nyquist=1/2 freq=((1:n/2)/(n/2)*nyquist)*5000 figure plot(freq,power) xlabel('Frequency (Hz)') ylabel('Power') title('Power Spectrum of Signal') grid on ![]() amp=abs(m(1:floor(n/2))) figure plot(freq,amp) xlabel('Frequency (Hz)') ylabel('Amplitude') title('Amplitude Spectrum of Signal') grid on ![]() But I am not quite sure which one of them is best/correct,any suggestion, Thanks |
| Aug18-12, 06:53 AM | #5 |
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For the spectrogram suggestion, explore: http://www.mathworks.com/help/toolbo...ectrogram.html
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