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- W2019900743 abstract "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." @default.
- W2019900743 created "2016-06-24" @default.
- W2019900743 creator A5074086844 @default.
- W2019900743 date "2013-08-01" @default.
- W2019900743 modified "2023-10-14" @default.
- W2019900743 title "Empirical Wavelet Transform" @default.
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- W2019900743 doi "https://doi.org/10.1109/tsp.2013.2265222" @default.
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