Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Electrocardiogram signal denoising using non-local wavelet transform
  domain filtering   ECG signals are usually corrupted by baseline wander, power-line
interference, muscle noise, etc. and numerous methods have been proposed to
remove these noises. However, in case of wireless recording of the ECG signal
it gets corrupted by the additive white Gaussian noise (AWGN). For the correct
diagnosis, removal of AWGN from ECG signals becomes necessary as it affects the
all the diagnostic features. The natural signals exhibit correlation among
their samples and this property has been exploited in various signal
restoration tasks. Motivated by that, in this work we propose a nonlocal
wavelet transform domain ECG signal denoising method which exploits the
correlations among both local and nonlocal samples of the signal. In the
proposed method, the similar blocks of the samples are grouped in a matrix and
then denoising is achieved by the shrinkage of its two-dimensional discrete
wavelet transform coefficients. The experiments performed on a number of ECG
signals show significant quantitative and qualitative improvement in denoising
performance over the existing ECG signal denoising methods.

11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int