zahra
/
noisecut
1
0
Fork 1
Code Issues Pull Requests Projects Releases Wiki Activity
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
master
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'master'
${ noResults }
noisecut/README.md

1.2 KiB
Raw Permalink Blame History

NoiseCut

OBS noise reduction from horizontal and vertical components using harmonic-percussive separation algorithms

Example of one day OBS signal

After installing the package, in order to denoise a signal you can use the following code. The outputs are the denoised signal and the spectrogram as below.The spectrogram shows only the frequency range of [0-1] Hz.

import noisecut
import obspy

st = obspy.read('D10.DO.HH4..D.2012.080.000000')
hps_trace, spectrograms = noisecut.noisecut(st[0], ret_spectrograms=True)
noisecut.plot_noisecut_spectrograms(*spectrograms)

network architecture

Installation

For the installation you need to clone the repository. Then run "python setup.py install" in the terminal. You need the Numpy version of 2.21.

Licence

NoiseCut is licenced under the GNU Affero General Public License (AGPLv3).

Contact