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Application of Wavelet Transform in MCG-signal Denoising

https://doi.org/10.5539/mas.v4n6p20
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.4287/jsprs.35.2_48openalex-snapshot
Wavelet Analysis and Its Application.
inferredcites →https://doi.org/10.4287/jsprs.35.3_51openalex-snapshot
Wavelet Analysis and Its Application.
inferredcites →https://doi.org/10.4287/jsprs.35.4_53openalex-snapshot
Wavelet Analysis and Its Application.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi-channel MCG signals filtering method based on multivariate variational mode decomposition
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129500openalex-snapshot
CrossLGNet: Enhanced feature extraction for magnetocardiography via local prediction and global comparison self-supervised learning
inferred← citeshttps://doi.org/10.1016/j.medengphy.2014.06.023openalex-snapshot
Baseline drift removal and denoising of MCG data using EEMD: Role of noise amplitude and the thresholding effect
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Denoising of Magnetocardiography Based on Improved Variational Mode Decomposition and Interval Thresholding Method
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