psd2
Estimation of power spectral density characteristics using Welch's method
The function psd2.py from Python module psd2 estimates power spectral density characteristics using Welch's method. This function is just a wrap of the scipy.signal.welch function with estimation of some frequency characteristics and a plot. The psd2.py returns power spectral density data, frequency percentiles of the power spectral density (for example, Fpcntile[50] gives the median power frequency in Hz); mean power frequency; maximum power frequency; total power, and plots power spectral density data.
Installation
pip install psd2
The plots (parameter show=True, the default) require matplotlib, which can be installed together with:
pip install "psd2[plot]"
Or
conda install -c duartexyz psd2
Examples
>>> import numpy as np
>>> from psd2 import psd2
# Generate a test signal, a 2 Vrms sine wave at 1234 Hz, corrupted by
# 0.001 V**2/Hz of white noise sampled at 10 kHz and calculate the PSD:
>>> fs = 10e3
>>> N = 100000
>>> amp = 2*np.sqrt(2)
>>> freq = 1234.0
>>> noise_power = 0.001 * fs / 2
>>> time = np.arange(N) / fs
>>> x = amp*np.sin(2*np.pi*freq*time)
>>> x += np.random.normal(scale=np.sqrt(noise_power), size=time.shape)
>>> fpcntile, mpf, fmax, Ptotal, f, P = psd2(x, fs=fs, nperseg=1024)
More examples are in a marimo notebook in the docs directory. Run it in your browser, no installation needed:
| Notebook | molab | marimo.app |
|---|---|---|
| psd2 |
The notebook name links to a static preview with the outputs; the badges run the notebook in your browser with WebAssembly.
Or run it locally:
uvx marimo edit --sandbox docs/psd2_notebook.py
How to cite this work
Here is a suggestion to cite this GitHub repository:
Marcos Duarte. (2021). psd2: A Python module for estimation of power spectral density characteristics using Welch's method (Version v0.0.4). Zenodo. http://doi.org/10.5281/zenodo.4599105
And a possible BibTeX entry:
@software{marcos_duarte_2021_4599105,
author = {Marcos Duarte},
title = {{psd2: A Python module for estimation of power spectral density characteristics using Welch's method}},
month = mar,
year = 2021,
publisher = {Zenodo},
version = {v0.0.4},
doi = {10.5281/zenodo.4599105},
url = {https://doi.org/10.5281/zenodo.4599105}
}
License
The non-software content of this project is licensed under a Creative Commons Attribution 4.0 International License, and the software code is licensed under the MIT license.
Metadata
Release files for psd2 0.0.5
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| File | Size | Uploaded | Provenance | |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| psd2-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.8 kB
Release files / psd2-0.0.5.tar.gz
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| Tags | Python 3 |
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