HPS noise reduction method especially for OBS data based on harmonic percussive separation (HPS) algorithms
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.
Zahra 8810993593 update readme 1 year ago
examples cleanup 1 year ago
src get test running 1 year ago
test get test running 1 year ago
.gitignore cleanup and add .gitignore 1 year ago
Example-spectrograms.png update figure 1 year ago
LICENSE add LICENSE file 1 year ago
README.md update readme 1 year ago
setup.py get test running 1 year ago



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)

network architecture


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.


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