htFIF-dFIF

Hard Thresholding Fast Iterative Filtering (htFIF) and Direct Fast Iterative Filtering (dFIF)

https://github.com/Acicone/htFIF-dFIF

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htFIF and dFIF

Hard Thresholding Fast Iterative Filtering (htFIF) Direct Fast Iterative Filtering (dFIF) for the decompostion of nonstationary signals

Please refer to Example_1.m and Example_4.m for examples of how to use the code and the paper A. Cicone. 'Iterative Filtering as a direct method for the decomposition of non-stationary signals' ArXiv http://arxiv.org/abs/1811.03536

It works only for periodical extension at the boundaries, but is made fast thanks to the FFT.

Please cite our work: A. Cicone, J. Liu, H. Zhou. Adaptive Local Iterative Filtering for Signal Decomposition and Instantaneous Frequency analysis. Applied and Computational Harmonic Analysis, Volume 41, Issue 2, September 2016, Pages 384-411. doi:10.1016/j.acha.2016.03.001 Arxiv http://arxiv.org/abs/1411.6051

A. Cicone. Nonstationary signal decomposition for dummies. Chapter in the book: Advances in Mathematical Methods and High Performance Computing. Springer, 2019. ArXiv https://arxiv.org/abs/1710.04844

A. Cicone, H. Zhou. Numerical Analysis for Iterative Filtering with New Efficient Implementations Based on FFT. ArXiv http://arxiv.org/abs/1802.01359

A. Cicone. 'Iterative Filtering as a direct method for the decomposition of non-stationary signals' ArXiv http://arxiv.org/abs/1811.03536

Zitieren als

Antonio (2026). htFIF-dFIF (https://github.com/Acicone/htFIF-dFIF), GitHub. Abgerufen .

Cicone, Antonio, et al. “Adaptive Local Iterative Filtering for Signal Decomposition and Instantaneous Frequency Analysis.” Applied and Computational Harmonic Analysis, vol. 41, no. 2, Elsevier BV, Sept. 2016, pp. 384–411, doi:10.1016/j.acha.2016.03.001.

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Kompatibilität der MATLAB-Version

  • Kompatibel mit allen Versionen

Plattform-Kompatibilität

  • Windows
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  • Linux

Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise Action
1.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.