Pybwe

July 2024 release:

-Update of the AIC (Akaike's Information Criterion) function used for the model order estimation in the PySSBWE package.
-Addition of the new MDL (Minimum Description Length) and "two-line fit" functions as alternatives to AIC.
-Update of the other PySSBWE functions accordingly.
-Update of the documentation accordingly.
-Update of the test scripts accordingly.

**May 2024 release:**

Modifications during the JOSS review:
-Update of the documentation.
-Update of the JOSS paper.
-Update of the figures display.

**March 2024 release:**

- Modification of the signal model from negative exponential to positive exponential for simplicity.

February 2024 release 2:

- Minor fix of the PyPBWE performance test script.

**February 2024 release:**

- Improvement of errors raising in the different functions of the PyBWE, PyPBWE and PySSBWE packages.
- The extrapolation mode is now an option in PyBWE.ar_extrapolation and PyPBWE.polar_extrapolation ('both' by default).
- Cutting 5% of frequencies on each side of a spectrum before BWE, PBWE and SSBWE is now an option ('True' by default).
- Implementation of automatic tests that can be launched from the GitHub actions.
- Update of the documentation.

**January 2024 release:**
- Correction for the effect of the Hamming window on the echoes amplitudes (X1.85) in integrated solutions PyBWE.BWE, PyPBWE.PBWE, PySSBWE.SSBWE.
- Simplification of the scaling factor for PyBWE.BWE.
- Check if the input order of the model is valid for PyBWE.BWE, PyPBWE.PBWE and PySSBWE.SSBWE.
- Corrections of the maximum possible order of a State-Space model in PySSBWE.
- Adding performance tests of the integrated solutions PyBWE.BWE, PyPBWE.PBWE and PySSBWE.SSBWE facing different levels of white-noise.
- Update of the documentation.