SF-SLSN
Sparse Filtering with Single Layer and Single Node
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
引用格式
aresmiki (2026). SF-SLSN (https://github.com/aresmiki/SF-SLSN), GitHub. 检索时间: .
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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| 1.0.3 | Change the Description |
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| 1.0.1 | Change the description |
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