Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Convergence and performances of the peeling wavelet denoising algorithm   This note is devoted to an analysis of the so-called peeling algorithm in
wavelet denoising. Assuming that the wavelet coefficients of the signal can be
modeled by generalized Gaussian random variables, we compute a critical
thresholding constant for the algorithm, which depends on the shape parameter
of the generalized Gaussian distribution. We also quantify the optimal number
of steps which have to be performed, and analyze the convergence of the
algorithm. Several versions of the obtained algorithm were implemented and
tested against classical wavelet denoising procedures on benchmark and
simulated biological signals.

18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
1
The categories of this paper are: cs
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
31
The categories of this paper are: ao-sci