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Resolution Analysis as a Decomposition into Subspaces
Fourth, decompose each resolution subspace
into its
subsequent resolution subspace
and its corresponding
orthogonal complement, the subspace of details
:
 |
(284) |
Given the fact that
is spanned by the
th resolution
basis, Eq.(2.83), the meaning of such a
decomposition consists of exhibiting an alternative o.n. basis part of
whose elements span
, while the remainder spans its
orthogonal complement. This decomposition is achieved as follows:
Recall that every square integrable function
can be
approximated as an optimal element in
. This optimal
approximation, which in Section 1.5.4 was identified as the least
squares approximation of
in the subspace
, is
uniquely expressed in terms of any orthonormal basis. Following
Eq.(1.8), and using the o.n. basis,
Eq.(2.82), one has
has the projection of
onto
:
 |
(285) |
This is the least squares approximation of
based on the
subspace
, or more briefly the
-least squares approximation. The next (less refined)
approximation is the projection of
onto the subspace
:
 |
(286) |
Here
and
are the projection
operators onto
and
respectively.
Let us compare the two o.n. bases for the two resolution spaces
and
. We shall presently see that
they are two families of o.n. wave packets identified already on page
by Eq.(2.64):
Here nad throughout the ensuing development we always let
Using Eqs.(2.82) and (2.80) one finds
that the
-family members are
and
By contrast, the
-family members, which are twice as wide
in the temporal domain and twice as narrow in the frequency domain, are
and
Figure:
Partitioning of phase space by a nested set of band limited
orthonormal basis functions. The tall thin rectangles and the shaded
rectangles are the phasespace cells of the basis functions which span
and
respectively. These two sets of
phase space cells are reproduced respectively on the l.h.s. and
r.h.s. of Figure 2.22.
 |
These two bases are represented by two overlapping arrays of phase
space cells, as in Figure 2.21. The phase space
cells referring to the
-basis are taller and skinnier
than those referring to
. Furthermore, the phase
space domain of the
-basis is a horizontal strip
which is contained entirely within that of the
-basis.
Consequently, the phase space domain of the
-basis gets
partitioned into three mutually exclusive and jointly exhaustive
domains:
- the negative ``band pass'' frequency strip
,
- the strip
generated by the
-basis, and
- The positive ``band pass'' frequency strip
.
The mutual exclusivity of these three strips, together with the
fact that their union equals the strip generated by the
-basis,
implies that
is spanned by two fundamental
bases. Besides the one given by Eq.(2.87),
there also is
Figure:
Two alternative partitionings of the same phase
space domain of
. The three different horizontal strips in the right hand
partitioning refer to the three orthogonal subspaces
,
, and
.
 |
As one can see from Figure 2.22, this corresponds to
the union of the three strips mentioned above. Here the
's are the
familiar o.n. wave packets defined by Eq.(2.61):
and
for both the positive and negative frequency wave packets. Due to the
mutual orthogonality of all the
's and
's combined, every band
limited function
is a unique linear combination
of these elements. Thus we have identified two alternative
bases of
. The first one consists of the elements
exhibited by Eq.(2.87). The second one consists of the
elements exhibited by Eqs.(2.88)-(2.90).
This fact is reexpressed by the statement that
is the direct sum of the subspaces
or, symbolically, that
which is the same as Eq.(2.84), provided one sets
the direct sum of the positive and negative frequency subspaces othogonal to
the
st resolution space
.
Next: Unit-Economy via the Two
Up: Multiresolution Analysis as Hierarchical
Previous: Resolution Spaces as Hierarchical
Contents
Index
Ulrich Gerlach
2007-04-05