File Exchange

image thumbnail


version 1.0.3 (158 KB) by aresmiki
Sparse Filtering with Single Layer and Single Node


Updated 01 Dec 2020

From GitHub

View Version History

View license on GitHub

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, Optimized minimum generalized Lp/Lq deconvolution for recovering repetitive impacts from a vibration mixture, Measurement, vol. 168,

Cite As

aresmiki (2021). 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.

View more styles

Comments and Ratings (0)

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!