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The aim of the present work is to illustrate how the empirical mode decomposition (EMD) can be associated with demodulation methods to estimate the instantaneous frequency (IF) of multicomponent non stationary signals. The IF estimation of three methods, namely, Hilbert-Huang transform (HHT) [10], EMD-DESA (Discrete Energy Separation Algorithm)also known as Teager-Huang transform (THT) [2] [5], and...
In this paper we point out new properties, composition, wideband filtering and quadratic principle, of the cross-PsiB-energy operator which measures the interaction between two non- stationary signals. These properties are useful for some signal processing applications. We show that due to its bilinearity, PsiB satisfies the quadratic superposition principle that can be used efficiently for transient...
In this paper a noise filtering method using the empirical mode decomposition (EMD) is proposed. The noisy signal is decomposed into oscillatory components called intrinsic mode functions (IMFs) using a process referred to as sifting. The basic idea of the proposed scheme is the partial re-construction of the signal using the IMFs corresponding to the most important structures of the signal (low frequency...
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