CWT Construction

ContinuousWavelets.CWTType
CWT(wave::ContWaveClass, Q=8, boundary::WaveletBoundary=SymBoundary(),
averagingType::Average = Father(), averagingLength::Int = 4, frameBound=1, p::N=Inf, β=4)
Wavelets.WT.waveletMethod
wavelet(wave::ContWaveClass; Q=8, boundary::WaveletBoundary=DEFAULT_BOUNDARY,
averagingType::Average = Father(), averagingLength = 4,
frameBound=1, p=Inf, β=4, kwargs...)

A constructor for the CWT type, using keyword rather than positional options.

The ContWaveClass type defines the kind of mother and father wavelet function. The CWT type, in contrast, defines everything else that goes into performing a continuous wavelet transform besides that choice. The function wavelet() has been overloaded to work with ContWaveClass in much the same way it works for the owts of Wavelets.jl. In more detail, the parameters, along with their defaults, are:

• wave::ContWaveClass: is a type of continuous wavelet, see the Available Wavelet Families.
• scalingFactor, s, or Q::Real=8.0: the number of wavelets between the octaves $2^J$ and $2^{J+1}$ (defaults to 8, which is most appropriate for music and other audio). Valid range is $(0,\infty)$.
• β::Real=4.0: As using exactly Q wavelets per octave leads to excessively many low-frequency wavelets, β varies the number of wavelets per octave, with larger values of β corresponding to fewer low frequency wavelets(see Wavelet Frequency Spacing for details). Valid range is $(1,\infty)$, though around β=6 the spacing is approximately linear in frequency, rather than log-frequency, and begins to become concave after that.
• boundary::WaveletBoundary=SymBoundary(): The default boundary condition is SymBoundary(), implemented by appending a flipped version of the vector at the end to eliminate edge discontinuities. See Boundary Conditions for the other possibilities.
• averagingType::Average=Father(): determines whether or not to include the averaging function, and if so, what kind of averaging. The options are
• Father: use the averaging function that corresponds to the mother Wavelet.
• Dirac: use the sinc function with the appropriate width.
• NoAve: don't average. this has one fewer filters than the other averagingTypes
• averagingLength::Int=4: the number of wavelet octaves that are covered by the averaging,
• frameBound::Real=1: gives the total norm of the whole collection, corresponding to the upper frame bound; if you don't want to impose a particular bound, set frameBound<0.
• normalization or p::Real=Inf: the p-norm preserved as the scale changes, so if we're scaling by $s$, normalization has value p, and the mother wavelet is $\psi$, then the resulting wavelet is $s^{1/p}\psi(^{t}/_{s})$. The default scaling, Inf gives all the same maximum value in the frequency domain. Valid range is $(0,\infty]$, though $p<1$ isn't actually preserving a norm.