Antonio (2026). FIF (https://github.com/Acicone/FIF/releases/tag/2.12.1), GitHub.
Recuperato .
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.
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.
APA
Cicone, A., Liu, J., & Zhou, H. (2016). Adaptive local iterative filtering for signal decomposition and instantaneous frequency analysis. Applied and Computational Harmonic Analysis, 41(2), 384–411. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.acha.2016.03.001
BibTeX
@article{Cicone_2016,
doi = {10.1016/j.acha.2016.03.001},
url = {https://doi.org/10.1016%2Fj.acha.2016.03.001},
year = 2016,
month = {sep},
publisher = {Elsevier {BV}},
volume = {41},
number = {2},
pages = {384--411},
author = {Antonio Cicone and Jingfang Liu and Haomin Zhou},
title = {Adaptive local iterative filtering for signal decomposition and instantaneous frequency analysis},
journal = {Applied and Computational Harmonic Analysis}
}
Cicone, Antonio, and Haomin Zhou. “Numerical Analysis for Iterative Filtering with New Efficient Implementations Based on FFT.” Numerische Mathematik, vol. 147, no. 1, Springer Science and Business Media LLC, Jan. 2021, pp. 1–28, doi:10.1007/s00211-020-01165-5.
Cicone, Antonio, and Haomin Zhou. “Numerical Analysis for Iterative Filtering with New Efficient Implementations Based on FFT.” Numerische Mathematik, vol. 147, no. 1, Springer Science and Business Media LLC, Jan. 2021, pp. 1–28, doi:10.1007/s00211-020-01165-5.
APA
Cicone, A., & Zhou, H. (2021). Numerical analysis for iterative filtering with new efficient implementations based on FFT. Numerische Mathematik, 147(1), 1–28. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs00211-020-01165-5
BibTeX
@article{Cicone_2021,
doi = {10.1007/s00211-020-01165-5},
url = {https://doi.org/10.1007%2Fs00211-020-01165-5},
year = 2021,
month = {jan},
publisher = {Springer Science and Business Media {LLC}},
volume = {147},
number = {1},
pages = {1--28},
author = {Antonio Cicone and Haomin Zhou},
title = {Numerical analysis for iterative filtering with new efficient implementations based on {FFT}},
journal = {Numerische Mathematik}
}
Cicone, Antonio. “Iterative Filtering as a Direct Method for the Decomposition of Nonstationary Signals.” Numerical Algorithms, vol. 85, no. 3, Springer Science and Business Media LLC, Feb. 2020, pp. 811–27, doi:10.1007/s11075-019-00838-z.
Cicone, Antonio. “Iterative Filtering as a Direct Method for the Decomposition of Nonstationary Signals.” Numerical Algorithms, vol. 85, no. 3, Springer Science and Business Media LLC, Feb. 2020, pp. 811–27, doi:10.1007/s11075-019-00838-z.
APA
Cicone, A. (2020). Iterative filtering as a direct method for the decomposition of nonstationary signals. Numerical Algorithms, 85(3), 811–827. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs11075-019-00838-z
BibTeX
@article{Cicone_2020,
doi = {10.1007/s11075-019-00838-z},
url = {https://doi.org/10.1007%2Fs11075-019-00838-z},
year = 2020,
month = {feb},
publisher = {Springer Science and Business Media {LLC}},
volume = {85},
number = {3},
pages = {811--827},
author = {Antonio Cicone},
title = {Iterative filtering as a direct method for the decomposition of nonstationary signals},
journal = {Numerical Algorithms}
}
Stallone, Angela, et al. “New Insights and Best Practices for the Successful Use of Empirical Mode Decomposition, Iterative Filtering and Derived Algorithms.” Scientific Reports, vol. 10, no. 1, Springer Science and Business Media LLC, Sept. 2020, doi:10.1038/s41598-020-72193-2.
Stallone, Angela, et al. “New Insights and Best Practices for the Successful Use of Empirical Mode Decomposition, Iterative Filtering and Derived Algorithms.” Scientific Reports, vol. 10, no. 1, Springer Science and Business Media LLC, Sept. 2020, doi:10.1038/s41598-020-72193-2.
APA
Stallone, A., Cicone, A., & Materassi, M. (2020). New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms. Scientific Reports, 10(1). Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1038%2Fs41598-020-72193-2
BibTeX
@article{Stallone_2020,
doi = {10.1038/s41598-020-72193-2},
url = {https://doi.org/10.1038%2Fs41598-020-72193-2},
year = 2020,
month = {sep},
publisher = {Springer Science and Business Media {LLC}},
volume = {10},
number = {1},
author = {Angela Stallone and Antonio Cicone and Massimo Materassi},
title = {New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms},
journal = {Scientific Reports}
}
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
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