whenxuan: bump version to 0.4.42

Author: wwhenxuan

README.md

@@ -135,7 +135,7 @@ plot_IMFs_amplitude_spectra(IMFs, smooth="exp")   # use exp smooth
 | [`JMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_jmd/jmd.py) (Jump Plus AM-FM Mode Decomposition) |         [[paper]](https://arxiv.org/abs/2407.07800)          | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/169388-jump-plus-am-fm-mode-decomposition-jmd?s_tid=prof_contriblnk) |   ️✔️   |
 | [`MJMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_jmd/mjmd.py) (Multivariate Jump Plus AM-FM Mode Decomposition) |         [[paper]](https://arxiv.org/abs/2407.07800)          | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/169393-multivariate-jump-plus-am-fm-mode-decomposition-mjmd?s_tid=prof_contriblnk) |   ✔️   |
 | [`SJMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_jmd/sjmd.py) / `SMJMD` (Successive Jump and Mode Decomposition) |         [[paper]](https://arxiv.org/abs/2504.08453)          |                          [[code]]()                          |   ✔️   |
-|   [`ESMD`]() (Extreme-Point Symmetric Mode Decomposition)    |          [[paper]](https://arxiv.org/abs/1303.6540)          |         [[code]](https://github.com/WuShichao/esmd)          |   ✖️   |
+|   [`ESMD`]() (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)   |   ✔️   |
 | [`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) |   ✔️   |

pysdkit/__init__.py

@@ -2,7 +2,7 @@
 A Python library for signal decomposition algorithms.
 """
 
-__version__ = "0.4.41"
+__version__ = "0.4.42"
 
 # Empirical Mode Decomposition
 from ._emd import EMD