Tools for time-frequency analysis of noisy time series. More details can be found in the accompanying manuscript Optimal time frequency analysis for biological data - pyBOAT. For help, questions or comments please join the official chat on gitter, write an issue or start a discussion.
pyBOAT features a modular, multi-layered graphical user interface. The example screenshot displays the DataViewer(left) used for signal inspection and preprocessing, paired with the resulting Wavelet Spectrum, which shows a ridge tracking the main oscillatory component with a
- x-platform GUI
- High-pass sinc filter
- Fourier analysis
- Wavelet analysis
- Ridge detection, phase and amplitude extraction
- Synthetic signal generator
- Batch processing
- Ensemble statistics
See also the sister project SpyBoat for spatially resolved time-frequency analysis with wavelets.
Linux:
python -m venv venv-pyboat
source venv-pyboat/bin/activate
pip install pyboatMacOS:
Download the latest pyBOAT-1.x.x.dmg file from the release page. To install and launch, you will need to bypass the macOS untrusted developer warning twice by right-clicking and selecting 'Open': first on the downloaded .dmg installer file, and then a second time on the installed pyBOAT app inside Finder.
Windows
Download the latest pyBOAT-1.x.x.msi file from the release page and run the setup wizard to install.
Via Anaconda Navigator (legacy)
For the public API see the single signal demonstration and the ensemble statistics example. Consult the respective Python docstrings for further details.
With pip:
pip install pyboat
or with conda:
conda install -c conda-forge pyboat
Then start the UI from the terminal:
pyboat
or use import pyboat in your Python scripts.