whenxuan: bump version to 0.4.44

Author: wwhenxuan

README.md

@@ -87,11 +87,13 @@ plot_IMFs_amplitude_spectra(IMFs, smooth="exp")   # use exp smooth
 
 `PySDKit` is still under development. We are currently working on reproducing the signal decomposition algorithms in the table below, including not only common decomposition algorithms for `univariate signals` such as EMD, VMD, OVMD, AVNCMD, ALIF and APMD, but also decomposition algorithms for `multivariate signals` such as MEMD and MVMD. We will also further reproduce the decomposition algorithms for `two-dimensional images` to make PySDKit not only suitable for signal processing, but also for image analysis and understanding. See [`Mission`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/README.md) for the reasons why we developed PySDKit.
 
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 |                          Algorithm                           |                            Paper                             |                            Source                            | State |
 | :----------------------------------------------------------: | :----------------------------------------------------------: | :----------------------------------------------------------: | :---: |
 | [`EMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_emd/emd.py) (Empirical Mode Decomposition) | [[paper]](https://royalsocietypublishing.org/doi/abs/10.1098/rspa.1998.0193) | [[code]](https://www.mathworks.com/help/signal/ref/emd.html) |   ✔️   |
 | [`MEMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_emd/memd.py) (Multivariate Empirical Mode Decomposition) | [[paper]](https://royalsocietypublishing.org/doi/full/10.1098/rspa.2009.0502) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/71270-fast-and-adaptive-multivariate-and-multidimensional-emd) |   ✔️   |
-| [`BEMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_emd2d/bemd.py) (Bidimensional Empirical Mode Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S0262885603000945) | [[code]](https://github.com/laszukdawid/PyEMD/blob/master/PyEMD/BEMD.py) |   ✖️   |
+| [`BEMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_emd2d/bemd.py) (Bidimensional Empirical Mode Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S0262885603000945) | [[code]](https://github.com/laszukdawid/PyEMD/blob/master/PyEMD/BEMD.py) |   ✔️   |
 |      [`CEMD`]() (Complex Empirical Mode Decomposition)       | [[paper]](https://ieeexplore.ieee.org/abstract/document/4063369) |                          [[code]]()                          |   ✖️   |
 | [`EEMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_emd/eemd.py) (Ensemble Empirical Mode Decomposition) | [[paper]](https://www.sciencedirect.com/topics/physics-and-astronomy/ensemble-empirical-mode-decomposition) | [[code]](https://github.com/laszukdawid/PyEMD/blob/master/PyEMD/EEMD.py) |   ✔️   |
 | [`REMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_emd/remd.py) (Robust Empirical Mode Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/pii/S0019057821003785) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/70032-robust-empirical-mode-decomposition-remd) |   ✔️   |
@@ -106,6 +108,7 @@ plot_IMFs_amplitude_spectra(IMFs, smooth="exp")   # use exp smooth
 | [`HVD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tid/hvd.py) (Hilbert Vibration Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/pii/S0022460X06001556) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/178804-hilbert-vibration-decomposition?s_tid=FX_rc1_behav) |   ✔️   |
 | [`ITD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tid/itd.py) (Intrinsic Time-Scale Decomposition) | [[paper]](https://royalsocietypublishing.org/doi/10.1098/rspa.2006.1761) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/69380-intrinsic-time-scale-decomposition-itd) |   ✔️   |
 | [`ALIF`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tid/alif.py) (Adaptive Local Iterative Filtering) |          [[paper]](https://arxiv.org/abs/1411.6051)          |           [[code]](https://github.com/Cicone/ALIF)           |   ✔️   |
+| [`IMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_imd/imd.py) (Impulsive Mode Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/pii/S0888327024001250) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/182635-impulsive-mode-decomposition?s_tid=FX_rc3_behav) |   ✔️   |
 | [`APMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_imd/apmd.py) (Adaptive Polymorphic Mode Decomposition) |     [[paper]](https://doi.org/10.1016/j.dsp.2024.104913)     | [[code]](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_imd/apmd.py) |   ✔️   |
 | [`LMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_lmd/lmd.py) (Local Mean Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S1051200418308133?via%3Dihub) | [[code]](https://github.com/shownlin/PyLMD/blob/master/PyLMD/LMD.py) |   ✔️   |
 | [`RLMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_lmd/rlmd.py) (Robust Local Mean Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S0888327017301619) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/66935-robust-local-mean-decomposition-rlmd) |   ✔️   |
@@ -138,7 +141,7 @@ plot_IMFs_amplitude_spectra(IMFs, smooth="exp")   # use exp smooth
 | [`ESMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_emd/esmd.py) (Extreme-Point Symmetric Mode Decomposition) |          [[paper]](https://arxiv.org/abs/1303.6540)          |         [[code]](https://github.com/WuShichao/esmd)          |   ✔️   |
 |   [`STNBMD`]() (Short-Time Narrow-Band Mode Decomposition)   | [[paper]](https://www.sciencedirect.com/science/article/pii/S0022460X16002443?via%3Dihub) | [[code]](https://ww2.mathworks.cn/matlabcentral/fileexchange/56226-short-time-narrow-band-mode-decomposition-stnbmd-toolbox) |   ✖️   |
 | [`SWD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_osd/swd.py) (Swarm Decomposition) |   [[paper]](https://doi.org/10.1016/j.sigpro.2016.09.004)    |  [[code]](https://github.com/gkaposto/Swarm-Decomposition)   |   ✔️   |
-| [`OSD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_osd/osd.py) (Optimization-based Signal Decomposition) | [[paper]](https://web.stanford.edu/~boyd/papers/sig_decomp_mprox.html) | [[code]](https://github.com/cvxgrp/signal-decomposition) |   ✔️   |
+| [`OSD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_osd/osd.py) (Optimization-based Signal Decomposition) | [[paper]](https://web.stanford.edu/~boyd/papers/sig_decomp_mprox.html) |   [[code]](https://github.com/cvxgrp/signal-decomposition)   |   ✔️   |
 | [`STL`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/tsa/_stl.py) (Seasonal-Trend decomposition using LOESS) | [[paper]](https://www.nniiem.ru/file/news/2016/stl-statistical-model.pdf) | [[code]](https://www.statsmodels.org/stable/examples/notebooks/generated/stl_decomposition.html) |   ✔️   |
 | [`MSTL`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/tsa/_mstl.py) (Multivariate Seasonal-Trend decomposition using LOESS) |         [[paper]](https://arxiv.org/abs/2107.13462)          |         [[code]](https://github.com/KishManani/MSTL)         |   ✔️   |
 

pysdkit/__init__.py

@@ -2,7 +2,7 @@
 A Python library for signal decomposition algorithms.
 """
 
-__version__ = "0.4.43"
+__version__ = "0.4.44"
 
 # Empirical Mode Decomposition
 from ._emd import EMD