Sep 25, 2017 · The aim of this study is to investigate the statistical properties of FuzzyEn and improve the subspace denoising technique using FuzzyEn. We ...
... Fuzzy entropy is used to measure the variability or irregularity of nonlinear time series based on the concept of approximate entropy and sample entropy.
Aug 2, 2018 · Abstract—Fuzzy entropy (FuzzyEn), which employs the fuzzy probability to characterize the similarity between vectors, is a ro-.
A fuzzy entropy-assisted deconvolution (FEAD) method is proposed. First, FEAD takes advantage of the high noise sensitivity of fuzzy entropy (FuzzyEn)
Xie, Hongbo, Sivakumar, Bellie, Boonstra, Tjeerd, & Mengersen, Kerrie (2018) Fuzzy entropy and its application for enhanced subspace filtering. IEEE ...
Fuzzy Entropy and Its Application for Enhanced Subspace Filtering. IEEE Trans. Fuzzy Syst. 26(4): 1970-1982 (2018); 2017. [j8]. view. electronic edition via DOI ...
Xie, Hongbo, Sivakumar, Bellie, Boonstra, Tjeerd, & Mengersen, Kerrie (2018) Fuzzy entropy and its application for enhanced subspace filtering.
Apr 30, 2024 · MOMEDA optimally filters the signal and enhances the shock component corresponding to the defect, after which the signal is automatically ...
A fuzzy entropy assisted singular spectrum decomposition denoising method is introduced to extract bearing fault in axial piston pump.
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Aug 13, 2018 · Fuzzy entropy and its application for enhanced subspace filtering. IEEE. Trans. Fuzzy Syst. 2017;99:1970–1982. doi: 10.1109/TFUZZ ...