A secondary ewma-based dictionary learning algorithm for polynomial phase signal denoising

HIGHLIGHTS

  • who: Guojian Ou from the Xichang University, Xichang, Sichuan, China have published the paper: A secondary EWMA-based dictionary learning algorithm for polynomial phase signal denoising, in the Journal: Scientific Reports Scientific Reports
  • what: The authors provide an overview of dictionary learning, EWMA, and phase space reconstruction theory. According to the above analysis, the authors propose a dictionary learning algorithm based on direct weight determination of a neural_network for PPS denoising, called SEWMA_DLA. The authors demonstrate the denoising effect of the proposed algorithm on PPS. The authors compare the computational complexity and convergence with that . . .

     

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