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Last Time
Scaling Function
, where
Hence
- This means we can start with 's and get and
- 's satisfy at least the following properties:
- and .
Wavelet
is known!
Haar Example
Let . Then
We take a power series expansion of
The limit as gives
Hence
, where is a partial product.
When satisfies an iterative relation:
Point:
- is a scaling function
- ...
Moments of Wavelet
A moment of a function is an integral of the form:
, where
Recall that if and , then for the Daubechies ( ) wavelet (projection of onto component of space):
We can take the Taylor series expansion of centered at
... and plug it into the inner product projection for above:
If is much greater than 1 and is smooth, then is small.
If is discontinuous in , then coefficients can become large.
Hence we can detect singularities (discontinuities) in because will be relatively large near
If for , then for smooth ,
Vanishing Moments
Demand: ,
implies
Require:
, where
Failed to parse (unknown function "\i"): {\displaystyle \begin{align} \hat{\psi}(\xi) &= -\mathrm{e}^{-\frac{i\,\xi}{2}} \, \left( \frac{1-\mathrm{e}^{ \frac{i\,\xi}{2} }}{2} \right)^2 \, \hat{\phi} \left( \frac{\xi}{2} \right) \\ &= (-i)^2 \, \sin^2 \left( \frac{\xi}{4} \right) \, \hat{\phi} \left( \frac{\xi}{2} \right) \\ &= \sin^2 \left( \frac{\xi}{4} \right) \, \tilde{P} \left( -\mathrm{e}^{ \frac{i \, \i}{2}} \right) \, \hat{\phi} \left( \frac{\xi}{2} \right) \\ &= \dots \end{align}}
Going back to conditions on ...
, hence
Satisfy: , where .
Use trig identities until you're sick in the face... What you get when all is said and done is:
and form the 's for the Daubechies wavelet