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Empirical wavelet transform (EWT) is a novel method for analyzing the multi-component signals and is proposed based on the classical wavelet transform. To fulfill an adaptive separation of Fourier spectrum in EWT, the adaptive parameterless EWT (APEWT) method is proposed in this paper. To overcome the shortcomings of Hilbert transform in estimating the instantaneous frequency and amplitude, a quadrature...
The generalized demodulation time–frequency analysis approach is a novel signal processing method, which is suitable for processing non-stationary signals, especially for processing amplitude-modulated and frequency-modulated (AM–FM) signals. The novelty of this method is that the signal whose time–frequency distributions are curved paths can be transformed into that whose time–frequency distributions...
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