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In [[signal processing]], the '''multidimensional empirical mode decomposition''' ('''multidimensional EMD''') is the extension of the 1-D [[Hilbert–Huang transform|EMD]] algorithm into multiple-dimensional signal. The [[Hilbert–Huang transform|Hilbert–Huang empirical mode decomposition]] (EMD) process decomposes a signal into intrinsic mode functions combined with the [[Hilbert spectral analysis]] known as [[Hilbert–Huang transform]] (HHT). The multidimensional EMD extends the 1-D [[Hilbert–Huang transform|EMD]] algorithm into multiple-dimensional signals. This decomposition can be applied to [[image processing]], [[audio signal processing]] and various other multidimensional signals.
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