An unconstrained optimization approach to empirical mode decomposition
A new simple unconstrained optimization-based approach to EMD is introduced. The new method provides an analytical and easily implemented closed solution. Unlike other proposals, computational cost of the present one is similar to EMD's. The number of parameters to be tuned has been reduced to only one. The use of explicit spline interpolations is avoided.
empirical mode decomposition (emd) convex optimization time frequency data-driven methods