Menu
Home
People
Places
Arts
History
Plants & Animals
Science
Life & Culture
Technology
Reference.org
Multidimensional empirical mode decomposition
open-in-new
<p>In <a href="/facts/Signal_processing/Npaja6zb">signal processing</a>, multidimensional empirical mode decomposition (multidimensional EMD) is an extension of the <a href="/facts/One-dimensional/bC4W2dHd">one-dimensional</a> (1-D) <a href="/facts/Hilbert%25E2%2580%2593Huang_transform/4wd3JY4E">EMD</a> algorithm to a signal encompassing multiple dimensions. The <a href="/facts/Hilbert%25E2%2580%2593Huang_transform/4wd3JY4E">Hilbert–Huang empirical mode decomposition</a> (EMD) process decomposes a signal into intrinsic mode functions combined with the <a href="/facts/Hilbert_spectral_analysis/DLFRarmF">Hilbert spectral analysis</a>, known as the <a href="/facts/Hilbert%25E2%2580%2593Huang_transform/4wd3JY4E">Hilbert–Huang transform</a> (HHT). The multidimensional EMD extends the 1-D <a href="/facts/Hilbert%25E2%2580%2593Huang_transform/4wd3JY4E">EMD</a> algorithm into multiple-dimensional signals. This decomposition can be applied to <a href="/facts/Image_processing/zenalNCf">image processing</a>, <a href="/facts/Audio_signal_processing/HXvBpspA">audio signal processing</a>, and various other multidimensional signals. </p>