Editing Continuous wavelet transform (section)

==Continuous wavelet transform properties==
In definition, the continuous wavelet transform is a [[convolution]] of the input data sequence with a set of functions generated by the mother wavelet. The convolution can be computed by using a [[fast Fourier transform]] (FFT) algorithm. Normally, the output <math>X_w(a,b)</math> is a real valued function except when the mother wavelet is complex. A complex mother wavelet will convert the continuous wavelet transform to a complex valued function. The power spectrum of the continuous wavelet transform can be represented by <math>\frac{1}{a}\cdot|X_w(a,b)|^2</math>.<ref>{{cite journal |last1=Torrence |first1=Christopher |last2=Compo |first2=Gilbert |title=A Practical Guide to Wavelet Analysis |journal=Bulletin of the American Meteorological Society |date=1998 |volume=79 |issue=1 |pages=61–78|doi=10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2 |bibcode=1998BAMS...79...61T |s2cid=14928780 |doi-access=free }}</ref><ref>{{cite journal |last1=Liu |first1=Yonggang |title=Rectification of the Bias in the Wavelet Power Spectrum |journal=Journal of Atmospheric and Oceanic Technology |date=December 2007 |volume=24 |issue=12 |pages=2093–2102|doi=10.1175/2007JTECHO511.1 |bibcode=2007JAtOT..24.2093L |doi-access=free }}</ref>
[[File:Wavelet scale sweep for FM signal.gif|thumb|300px|Visualizing the effect of changing a [[Morlet wavelet|Morlet wavelet's]] <math>\sigma</math> parameter, which interpolates between the original time-series and a [[Fourier transform]]. Here, a [[Frequency modulation|frequency-modulated]] tone (plus noise) is analyzed; <math>1/\sigma</math> is adjusted from 1 to 200, in steps of unity.]]