parzenpy
A python library that perform Parzen spectral smoothing using numpy vectorized operations very efficiently.
Background
A Parzen window also known as a Kernel Density Estimation function which was developed by Emanuel Parzen (see reference)
E. Parzen, “Mathematical Considerations in the Estimation of Spectra”, Technometrics, Vol. 3, No. 2 (May, 1961), pp. 167- 190.
is a non-parametric estimation method that can apply smoothing by fitting a 4th order spline window to frequency spectra. In this case we apply the function to smooth Fourier Amptlitude Spectra (FAS).
Installation
parzenpy is available using pip and can be installed with:
pip install parzenpy
Usage
A user can smooth a seismic signal using a the function apply_smoothing using a bandwidth of 1.5. Larger values will return greater smoothing
import parzenpy
smooth_fas = parzenpy.apply_smooth(freq, fft, fc, b=1.5, windowed_flag=True)
Citation
Francisco-Javier Ornelas. (2024). fjornelas/parzenpy: latest(concept). Zenodo. (waiting on DOI)
Metadata
Release files for parzenpy 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| parzenpy-1.0.0.tar.gz | 15.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| parzenpy-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.2 kB
Release files / parzenpy-1.0.0.tar.gz
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Release files / parzenpy-1.0.0-py3-none-any.whl
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| Size | 15.7 kB |
| Tags | Python 3 |
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