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Add EMD step by step slides
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- signal
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- signal
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- algorithm
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- algorithm
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- math
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- math
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date: 2024-04-23
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date: 2024-09-18
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---
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---
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# Introduction
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# Introduction
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@ -174,6 +174,10 @@ def EMD(signal, max_imf = 10, tolerance = 0.01):
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return imfs, residual
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return imfs, residual
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```
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```
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# Download Step by Step Slides
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[Slides](signal/signal_processing/algorithm/EMD/attachments/EMD_StepByStep.pptx)
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# Reference
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# Reference
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* [Huang, Norden E., et al. “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis.” _Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences_, vol. 454, no. 1971, Mar. 1998, pp. 903–95. _DOI.org (Crossref)_, https://doi.org/10.1098/rspa.1998.0193.](https://royalsocietypublishing.org/doi/abs/10.1098/rspa.1998.0193#purchaseArea)
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* [Huang, Norden E., et al. “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis.” _Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences_, vol. 454, no. 1971, Mar. 1998, pp. 903–95. _DOI.org (Crossref)_, https://doi.org/10.1098/rspa.1998.0193.](https://royalsocietypublishing.org/doi/abs/10.1098/rspa.1998.0193#purchaseArea)
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