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whenxuan: create the notebook for set
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‎README.md‎

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@@ -147,6 +147,7 @@ plot_IMFs(signal, IMFs) # per-channel panels
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| [`STNBMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_vncmd/stnbmd.py) (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) | [[notebook]](https://github.com/wwhenxuan/PySDKit/blob/main/examples/vncmd/stnbmd.ipynb) |
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| [`VTFMTD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tfa/vtfmtd.py) (Variational TF Mode Tracking Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/pii/S0165168426001179) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/183389-variational-time-frequency-mode-tracking-decomposition) | [[notebook]](https://github.com/wwhenxuan/PySDKit/blob/main/examples/tfa/vtfmtd.ipynb) |
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| [`SST`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tfa/sst.py) (Synchrosqueezing Transform) | [[paper]](https://doi.org/10.1016/j.sigpro.2014.08.010) | [[code]](https://www.commsp.ee.ic.ac.uk/~mandic/research/sst.htm) | [[notebook]](https://github.com/wwhenxuan/PySDKit/blob/main/examples/tfa/sst.ipynb) |
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| [`SET`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tfa/set.py) (Synchroextracting Transform) | [[paper]](https://doi.org/10.1109/TIE.2017.2696503) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/62483-synchroextracting-transform?s_tid=srchtitle) | [[notebook]](https://github.com/wwhenxuan/PySDKit/blob/main/examples/tfa/set.ipynb) |
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| [`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) | [[notebook]](https://github.com/wwhenxuan/PySDKit/blob/main/examples/osd/swd.ipynb) |
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| [`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) | [[notebook]](https://github.com/wwhenxuan/PySDKit/blob/main/examples/osd/osd_intro.ipynb) |
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| [`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) | [[notebook]](https://github.com/wwhenxuan/PySDKit/blob/main/examples/tsa/stl.ipynb) |

‎examples/tfa/set.ipynb‎

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‎examples/tfa/set_decomposition.ipynb‎

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