A New Method for Separating EMI Signal Based on CEEMDAN and ICA

Zhao, D; Li, KC; Li, HY

Li, HY (corresponding author), Beihang Univ, Sch Math Sci, LMIB, Beijing 100191, Peoples R China.

NEURAL PROCESSING LETTERS, 2021; 53 (3): 2243

Abstract

Aiming at the problem of electromagnetic interference signal separation, we propose a single-channel blind source separation method based on complete ......

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