SF-SLSN

Sparse Filtering with Single Layer and Single Node

https://github.com/aresmiki/SF-SLSN

Version 1.0.3 (167 KB)
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26 Jul 2021

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This a new blind deconvolution method for recovering repetitive transients. This method can be used for bearing fault diagnosis. This method is coded by Liu He. This his Ph.D. research at the University of Southwest Jiaotong University. If you use the code in your research, please refer to the relevant literature: Liu He et.al, Optimized minimum generalized Lp/Lq deconvolution for recovering repetitive impacts from a vibration mixture, Measurement, vol. 168，https://doi.org/10.1016/j.measurement.2020.108329

Cite As

aresmiki (2026). SF-SLSN (https://github.com/aresmiki/SF-SLSN), GitHub. Retrieved .

He, Liu, et al. “Optimized Minimum Generalized Lp/Lq Deconvolution for Recovering Repetitive Impacts from a Vibration Mixture.” Measurement, vol. 168, Elsevier BV, Jan. 2021, p. 108329, doi:10.1016/j.measurement.2020.108329.

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MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
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1.0.3

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1.0.2

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1.0.1

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1.0.0

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To view or report issues in this GitHub add-on, visit the GitHub Repository.