Time/frequency analysis of some MOST data
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Time/frequency analysis of some MOST data F. Baudin (IAS) & J. Matthews (UBC)
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Time/frequency analysis of some MOST data. F. Baudin (IAS) & J. Matthews (UBC). Just few words about time/frequency analysis. Classical Fourier transform: FT[S(t)]( w )= S(t) e i w t dt Windowed Fourier transform: WFT[S(t)]( w ,t 0 ) = S(t) W(t-t 0 ) e i w t dt - PowerPoint PPT Presentation
Transcript of Time/frequency analysis of some MOST data
Just few words about time/frequency analysis
• Classical Fourier transform:
FT[S(t)]()= S(t) eit dt
• Windowed Fourier transform:
WFT[S(t)](,t0) = S(t) W(t-t0) eit dt
If W(t) = gaussian => Gabor transformIf W(t,) => wavelet transform
Conclusion
Time/Frequency analysis allows :
• variation with time of the (instrumental) noise [ Boo, Procyon]
• simple interpretation (beating) of amplitude modulation [ Equ]
• evidence of temporal variation of modes of unknown origin [ Oph]