Nonuniform low-pass filters on non Archimedean local fields
August 30, 2021; accepted: September 16, 2021; published online: November 8, 2021.
In real life application all signals are not obtained from uniform shifts; so there is a natural question regarding analysis and decompositions of this types of signals by a stable mathematical tool. Gabardo and Nashed
(J. Funct. Anal. 158:209-241, 1998) filled this gap by the concept of nonuniform multiresolution analysis. In this setting, the associated translation set
MSC. 42C40; 42C15; 43A70; 11S85
Keywords. Low pass filter, Nonuniform MRA, Fourier transform, Local field.
1 Introduction
Multiresolution analysis is an important mathematical tool since it provides a natural framework for understanding and constructing discrete wavelet systems. The concept of MRA has been extended in various ways in recent years. These concepts are generalized to
During the last two decades, there is a substantial body of work that has been concerned with the construction of wavelets on local fields. Even though the structures and metrics of local fields of zero and positive characteristics are similar, their wavelet and MRA (multiresolution analysis) theory are quite different. For example, R. L. Benedetto and J. J. Benedetto
[
18
]
developed a wavelet theory for local fields and related groups. They did not develop the multiresolution analysis (MRA) approach, their method is based on the theory of wavelet sets and only allows the construction of wavelet functions whose Fourier transforms are characteristic functions of some sets. Khrennikov, Shelkovich and Skopina
[
31
]
constructed a number of scaling functions generating an MRA of
Recently, Shah and Abdullah
[
50
]
have generalized the concept of multiresolution analysis on Euclidean spaces
W. Lawton
[
40
]
gave the necessary and sufficient conditions for a trigonometric polynomial to be a low-pass filter of an MRA on
The article is organized as follows. Section
2 Preliminaries on Non-Archimedean Local Fields
2.1 Non-Archimedean Local Fields
A non-Archimedean local field
(a)
(b)
(c)
Property (c) is called the ultrametric inequality. Let
Let
We now impose a natural order on the sequence
we define
Also, for
This defines
Let the local field
2.2 Fourier Transforms on Non-Archimedean Local Fields
The Fourier transform of
It is noted that
The properties of Fourier transforms on non-Archimedean local field
The map
is a bounded linear transformation of into , and .If
, then is uniformly continuous.If
, then .
The Fourier transform of a function
where
The series
2.3 Uniform MRA on Non-Archimedean Local Fields
In order to be able to define the concepts of uniform MRA and wavelets on non-Archimedean local fields, we need analogous notions of translation and dilation. Since
Let
(a)
(b)
(c)
(d)
(e) There exists a function
According to the standard scheme for construction of MRA-based wavelets, for each
Moreover, they are mutually orthogonal, and we have the following orthogonal decompositions:
As in the case of
3 Nonuniform Low-pass Filters on Non-Archimedean Fields
For an integer
where
For an integer
(a)
(b)
(c)
(d)
(e) There exists a function
It is worth noticing that, when
For every
It follows that for
where all these subspaces are orthogonal. By virtue of condition (b) in the definition 3.1, this implies
a decomposition of
As in the standard scheme, one expects the existence of
Let
where
where
Consider two operators
Corresponding to the scaling function
Therefore,
Let
exists and is constant almost everywhere.
(i) both
(ii)
Note that if
We call a function
Let
where the constants
We have the following lemma for integral-periodic unimodular functions on
Let
(i)
(ii)
Then there is a unimodular function
Consider
We now proceed inductively. Suppose that
Similarly, if
Again using induction we can define
Therefore, we define
Thus, 3.12 follows from 3.16 if we set
We are now ready to present our main theorem, which gives necessary and sufficient conditions of a function to be a low-pass filter for a local field
Let
(i) m is integral-periodic,
(ii) The operators
(iii) The fixed point
Conversely, if a function m satisfies (i), (ii), and (iii), then m is a low-pass filter associated with a pre-scaling function
Suppose that the operator
This leads us to define
Note that
By lemma 3.6 we can write
Since
Now let
is a scaling function for the same NUMRA and that
By the characterization of scaling function, we have
This shows that
4 Proof of the Uniqueness
In this section, we want to prove that
Let
Let
Every non-negative integer
We identify
Let
For each
For
It holds
Equation 4.22 can also be written as
For
Using equation 4.20, we can easily see that the result is true for
Assume that it is true for
Where,
Note that the summation is only on
Hence, the induction is complete.
Therefore,
Hence,
Consider
For
Also, we can write
Now we can define the conditional probability of
for each
Now
By construction,
Since
Now we will come back to uniqueness question. Consider
Therefore, the composition
The martingale
Thus,
for almost every
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