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In this paper we perform such a propagation for a nonlinear point-kinetic model coupled to a lumped parameters system using a spectral technique, based on the Polynomial Chaos Expansion (PCE).
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The effect of turbulent loading on the noise radiated by an advanced aircraft propeller is assessed using a spectral conditioning technique which allows the inclusion of the non-linear effects associated with source rotation.
The first step is to find a common latent input space between the source and target domains using a spectral mapping technique.
In this paper, we have proposed an image hashing algorithm that uses some pre-processing steps, DWT-SVD and saliency detection technique using a spectral residual model.
From this viewpoint, it is noted that a low complexity acoustic echo suppression (AES) algorithm by Faller [9] uses a spectral modification technique by incorporating the echo path response filter characterizing the actual echo path in a frequency domain.
In this paper we used a spectral reconstruction technique [28] in order to estimate the reflectance spectrum in each pixel with 5 nm spacing.
Lastly, the uncertainty of the constrained model is calculated using an inverse spectral technique, and then propagated into a range of simulation conditions to demonstrate the utilities and limitations of the method.
This latter feature differentiates it from ref. (Lin et al., 2010) in which a spectral techniques is used to achieve a bipartitioning.
The solutions have been generated using a conventional spectral transform technique combined with a semi-implicit time differencing scheme.
The recordings were analyzed off-line for the presence of microvolt-level TWA using a sensitive spectral analysis technique.
This trend is more regular in the case of using Spectral technique rather than K-means method.
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