Stockwell

Python package for time-frequency analysis through Stockwell transform.

Based on original code from NIMH MEG Core Facility.

(c) 2021-2024 Claudio Satriano satriano@ipgp.fr

v1.1.2 - 2024-05-22

Make it possible again to directly call functions from submodules, like it was in versions prior to v1.1. Example:
```
import stockwell
stockwell.st.st(data, fmin, fmax)
```

v1.1.1 - 2024-05-21

Remove support for Python 3.6 and 3.7
Add support for Python 3.11 and 3.12
Support for Numpy 2.0!
Added a script to download and compile FFTW3

v1.1 - 2023-06-05

Use ctypes to wrap the modules written in C
License changed to GPLv3

v1.0.7 - 2022-07-27

Packages for Python 3.10 and macOS arm (M1, M2)

v1.0.6 - 2022-04-21

Fix for missing file in source distribution

v1.0.5 - 2022-04-21

New parameters for st.st(): gamma and win_type:
- gamma can be used to tune the time and frequency resolutions of the S-transform.
- win_type can be set to 'gauss' (default) and 'kazemi' (Kazemi, 2014)

v1.0.4 - 2021-11-04

Use versioneer to generate package version
Add tests

v1.0.3 - 2021-09-15

Automated wheel building and deploy to PyPI

v1.0.2 - 2021-09-15

Updated install instructions in README
Copy FFTW3 dynamic library into macOS wheel

v1.0.1 - 2021-09-15

Add numpy dependency

v1.0 - 2021-09-15

Initial release