最近的一些方法，如经验模式分解

（EMD），提出将信号分解

其包含的信息。尽管它的适应性似乎

对于许多应用程序，这种方法的主要问题

是它缺乏理论。本文提出了一种新的方法

建立自适应小波。主要的想法是提取不同

设计适当的小波滤波器组的信号模式。

这种结构导致我们到一个新的小波变换，称为

经验小波变换。许多实验

显示此方法相比经典的有用性

EMD-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.