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Last Time
Scaling Function
, where
Hence
- This means we can start with
's and get
and ![{\displaystyle \phi (x)={\mathcal {F}}^{-1}\left[{\hat {\phi }}\right]}](https://wikimedia.org/api/rest_v1/media/math/render/svg/a2575db591392807c80ae92770af509816703133)
'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