Abstract
Empirical modal decomposition (EMD) is a data-driven signal analysis method that can effectively decompose signals into components of different scales. However, there are still key issues such as endpoint effects, envelope fitting and theoretical foundation improvement that need to be solved. In this paper, we introduce Multi-Quadratic (MQ) fitting interpolation to estimate the envelope in the empirical modal decomposition, which is an efficient, high-precision and conformal fitting method without solving the system of equations.
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