Pybwe

**March 2023 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.

First release of the PyBWE library for radar soundings resolution enhancement

This library contains the following packages:

PyBWE: containing functions to apply the classic BWE.
PyPBWE: containing functions to apply the Polarimetric version of the BWE.
PySSBWE: containing functions to apply the State-space version of the BWE.

Two examples are provided for each package:

An application of the BWE (or PBWE, SSBWE) function directly to a synthetic radar sounding.
An application of the modelling and extrapolation sub-functions to a synthetic radar sounding.

Documentation on each package is also provided.