عنوان فارسی مقاله: تبدیل موجک


عنوان انگلیسی مقاله:

WAVELET TRANSFORM






 



بخشی از مقاله


Considerations for choice (can be considered arbitrary) of wavelet function:
1) Orthogonal or non-orthogonal:
Non-orthogonal (like those shown here) are useful for time series analysis. Orthogonal wavelets (for signal processing –discrete blocks of wavelet power)– Haar, Daubechies
2) Complex or real:
Complex returns information on amplitude and phase; better adapted for oscillatory behavior.
Real returns single component; isolates peaks or discontinuities
3) Width (e-folding time of 0):
Narrow function — good time resolution
Broad function – good frequency resolution
4) Shape:
For time series with jumps or steps – use boxcar-like function (Haar)
For smoothly varying time series – use a damped cosine (qualitatively similar results of wavelet power spectra).




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