Sentence examples for marginal spectra from inspiring English sources
Five IMF components were selected based on this criterion and their marginal spectra were calculated.
The cumulative Hilbert marginal spectra showed that the thickness frequencies decreased gradually with the decreasing of grouting compactness.
The Hilbert marginal spectrum of each IMF is then calculated.
Then Hilbert spectrum and Hilbert marginal spectrum were obtained by Hilbert transform of IMFs (intrinsic mode functions).
The separations of two consecutive IMFs in the Hilbert marginal spectrum are estimated based on their correlation coefficients.
A nine-dimensional vector, which consists of seven intrinsic mode functions (IMFs) from the empirical mode decomposition (EMD), maximum value of HHT marginal spectrum and its corresponding frequency component, is specified to represent each engine fault feature.
The group of the last several IMFs in which the IMFs are close to each other in the Hilbert marginal spectrum will be used for the representation of the underlying trend of the signal.
This paper presents a novel methodology for extracting the underlying trends of signals based on the separations of consecutive empirical mode decomposition (EMD) components in the Hilbert marginal spectrum.
Marginal spectrum was calculated on the Hilbert-Huang spectrum of EEMD output followed by DCT quantization and normalization of the marginal spectrum.
We can also calculate a demodulated signal spectrum analogous to the Fourier spectrum, similar to marginal spectrum of HHT, as follows MS = ∫ 0 T DS ω, t ) d t (33).
The mean values of four local bands centered at (f^{prime}_{e1}) with k = 1, 2, and (f^{prime}_{e2}) with k = 2, 3, and averaged Hilbert marginal spectrum in local bands centered at (f^{prime}_{e1}) with k = 1, and (f^{prime}_{e2}) with k = 2, in the first two intrinsic mode functions (IMF), and averaged instantaneous amplitudes of the first two IMFs are used as fault indicators.
