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Nonlinear mode decomposition (NMD) offers a groundbreaking approach for analyzing complex time series data that features multiple oscillatory modes often obscured by noise. The method is mathematically justified and demonstrated across various applications, highlighting its potential in fields such as medical diagnostics, where human blood flow exhibits multiple fluctuating frequencies. Detailed practical guidance and MATLAB codes for implementation are provided, suggesting that NMD could become widely applicable in numerous scientific disciplines.
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Nonlinear Mode Decomposition, Dmytro Iatsenko
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- Released
- 2016
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- (Paperback)
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