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• W2605606145 abstract "Local mean decomposition (LMD) is a promising approach to implement time-frequency representation (TFR) for multicomponent amplitude-modulated (AM) and frequency-modulated (FM) signal analysis; however, its performance usually suffers from end effect and mode mixing problems. To address this issue, this paper proposes a novel comprehensive scheme to improve LMD performance. The novel scheme can automatically determine the fix subset size of the moving average algorithm and the optimal number of sifting iterations in a sifting process. Extensive simulations have been explored for multicomponent AM-FM signal analysis by means of TFR with the improved LMD. Moreover, the improved LMD shows potential application in bearing fault diagnosis in conjunction with the well-known fast kurtogram." @default.
• W2605606145 created "2017-04-28" @default.
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• W2605606145 date "2017-10-01" @default.
• W2605606145 modified "2023-10-13" @default.
• W2605606145 title "Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis" @default.
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• W2605606145 doi "https://doi.org/10.1016/j.ymssp.2017.03.035" @default.
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