Time-series prediction and imputation receive lots of attention in academic and industrial areas. Machine learning methods have been developed for specific
A Bayesian approach is developed to invert these parameters assuming the electrical response is described by a Cole–Cole model in the time or frequency domain. We show that the Bayesian approach provides a better analysis of the uncertainty associated with the parameters of the Cole–Cole model ...
Moreover, the scope of the present application is not intended to be limited to the particular embodiments of the process, machine, manufacture, composition of matter, means, methods and steps described in the specification. As one of ordinary skill in the art will readily appreciate from the ...
This can be understood, since in the frequency domain the diffusion constant tends zero as we approach the boundaries, which means the mean square distances diffused per unit time becomes increasingly small, exactly as given by Fisher's angular transformation θ = cos−1 (1 − 2x); hence,...
to the output of the PN code generator 4 at modulo-two adder 5 such that the correlated output of the detector then produces a voltage that is maximum when correlation is achieved. The net effect is to produce a set of side-bands in composition with the received signal. The side-band si...
Additionally, the frequency-domain features on the specific frequency band are not sensitive to the environment and the machine noises from other frequency bands. In our study, a Fast Fourier Transform (FFT) algorithm was applied to extract the frequency characteristics of the AE signal segments, ...
Therefore, to determine the time-frequency feature composition of IES time-series data, extracting the statistical features of the decomposition coefficients obtained by time-frequency transform is considered an important part. Based on the existing research, the statistical features are determined to be...
The tendency for “photorefractive damage” depends strongly on the material composition; e.g. it can be reduced via MgO doping and by using a stoichiometric composition. Potassium Niobate Potassium niobate (KNbO3) has a high nonlinearity. It is used for, e.g., frequency doubling to blue ...
By calculating the first-order difference and the second-order difference of the mel spectrum feature, and further supplementing the time-frequency information, the 3D mel-spectrum feature [34] was obtained, and its composition is shown in Figure 2. This article resized the 3D mel-spectrum ...
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