Multidimensional empirical mode decomposition: Difference between revisions

Revision as of 19:04, 13 August 2020

Revision as of 19:53, 29 March 2021

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'''The fast and adaptive bidimensional empirical mode decomposition (FABEMD)''' is an improved version of traditional BEMD.<ref name=":0" /> The FABEMD can be used in many areas, including medical image analysis, texture analysis and so on. The order statistics filter can help in solving the problems of efficiency and restriction of size in BEMD.

Based on the algorithm of BEMD, the implementation method of FABEMD is really similar to BEMD, but the FABEMD approach just changes the interpolation step into a direct envelopenvelope estimation method and restricts the number of iterations for every BIMF to one. As a result, two order statistics, including MAX and MIN, will be used for approximating the upper and lower envelope. The size of the filter will depend on the maxima and minima maps obtained from the input. The steps of the FABEMD algorithm are listed below.

===FABEMD algorithm<ref name=":0" />===