Multidimensional empirical mode decomposition: Difference between revisions

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::: <math>Y_i=\sum_{j=1}^nc_{j,i}+r_{n,i}</math><ref name=":7" />
:: where ''c''<sub>''j'',''i''</sub> represents simple oscillatory modes of certain frequencies and ''r''<sub>''n'',''i''</sub> is the residual of the data ''Y''<sub>''i''</sub>. The result of the ''i''th MEEMD component ''C''<sub>''j''</sub> is obtained as
::: <math>C_j=\sum_{j=1}^{40} c_{j,i} V_i.</math>.&nbsp;<ref name=":7" />
 
In this compressed computation, we have used the approximate dyadic filter bank properties of EMD/EEMD.