Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A space-based method for the generation of a Schwartz function with
  infinitely many generalized vanishing moments with applications in image
  processing   In this article we construct a function with infinitely many vanishing
(generalized) moments. This is motivated by an application to the Taylorlet
transform which is based on the continuous shearlet transform. It can detect
curvature and other higher order geometric information of singularities in
addition to their position and the direction. For a robust detection of these
features a function with higher order vanishing moments, $\int_\mathbb{R}
g(x^k)x^m dx = 0$, is needed. We show that the presented construction produces
an explicit formula of a function with infinitely many vanishing moments of
arbitrary order and thus allows for a robust detection of certain geometric
features. The construction has an inherent connection to q-calculus, the Euler
function and the partition function.

22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
1
The categories of this paper are: cs
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom