pykooh
Konno Ohmachi filter implemented in Numba.
This code implements Konno-Ohmachi spectral smoothing as defined in:
Konno, K. and Ohmachi, T., 1998. Ground-motion characteristics estimated from spectral ratio between horizontal and vertical components of microtremor. Bulletin of the Seismological Society of America, 88(1), pp.228-241.
This code was originally written for smoothing sub-module in gmprocess by Bruce Worden. Dave Boore has provided notes on this topic, which also may be of interest. Notes regarding the characteristics of the Konno-Ohmachi filter and the implementation are provided in the implementation Jupyter Notebook.
Installation
pykooh is available via pip and can be installed with:
pip install pykooh
By default, pykooh uses numba for the fast implementation of the filter.
Performance can be increased by using cython, but this requires a C
complier. If a C compiler is available, install cython required
dependencies with:
pip install pykooh[cython]
Usage
Smooth a signal using a bandwith of 30.
import pykooh
signal_smooth = pykooh.smooth(freqs, freqs_raw, signal_raw, 30)Additional examples and comparison with obspy are provided in example.
Citation
Please cite this software using the following DOI.