Introduction - If you have any usage issues, please Google them yourself
Some recent methods, like the Empirical Mode Decomposition
(EMD), propose to decompose a signal accordingly
to its contained information. Even though its adaptability seems
useful for many applications, the main issue with this approach
is its lack of theory. This paper presents a new approach to
build adaptive wavelets. The main idea is to extract the different
modes of a signal by designing an appropriate wavelet filter bank.
This construction leads us to a new wavelet transform, called the
empirical wavelet transform. Many experiments are presented
showing the usefulness of this method compared to the classic
EMD.