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whenxuan: create the notebook for vtfmtd
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‎README.md‎

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| [`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]]() | ✔️ |
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| [`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) | ✔️ |
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| [`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) | ✖️ |
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| [`VTFMTD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tfa/vftmtd.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) | ✔️ |
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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) | ✔️ |
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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) | ✔️ |
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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) | ✔️ |

‎examples/tfa/vtfmtd.ipynb‎

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‎pyproject.toml‎

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"pysdkit._tid.data" = ["*.npy"]
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"pysdkit._imd" = ["data/*.npy"]
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"pysdkit._imd.data" = ["*.npy"]
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"pysdkit._tfa" = ["data/*.npy"]
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"pysdkit._tfa.data" = ["*.npy"]

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