Patent ID: 8428389

Claim:
A method for processing multi-dimensional data by empirical mode decomposition (EMD), comprising: reading a first set of multi-dimensional data; and sifting the first set of multi-dimensional data by iteration to obtain at least an intrinsic mode function via empirical mode decomposition, wherein the sifting step includes an iteration process for obtaining the intrinsic mode function comprising: mapping each value of the first set of the multi-dimensional data to a physical quantity of a physical field, described by a governing differential equation, to obtain a plurality of numerical values of the physical quantity, wherein the physical quantity has the same dimension as the first set of multi-dimensional data; determining an average envelope of a distribution of the numerical values of the physical quantity according to a varying relationship of the physical field with respect to the physical quantity; determining a next set of multi-dimensional data according to the first set of multi-dimensional data and the average envelope comprising: inversely mapping the average envelope in terms of the physical quantity to numeral values; and determining the next set of multi-dimensional data to be difference values between the first set of multi-dimensional data and the numerical values obtained by inversely mapping the average envelope; and performing a next iteration process starting with the mapping step with respect to the next set of multi-dimensional data.