htFIF-dFIF
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
Cite As
Antonio (2024). htFIF-dFIF (https://github.com/Acicone/htFIF-dFIF), GitHub. Retrieved .
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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1.0.0 |
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