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We design a correlation feature-based detector for detecting the range distributed targets embedded within sea clutter.
The main contributions of our present study are summarized as follows: We design a correlation feature-based detector for detecting the range distributed targets embedded within sea clutter.
Inspired by this and the works presented in [34], we design a correlation feature-based detector for detecting the range distributed targets embedded within sea clutter.
To optimize the manifold design, a correlation model was developed, based on correlations for minor pressure losses.
In spite of the attenuation and distortion in harsh environments, the receiver design with UWB is still possible, as it is easier to design a correlation receiver when the signals are wideband.
For each treatment (see Table 1) and for each group of lipids we now design a correlation network as described in the previous section, and identify a graph clustering.
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The contribution deals with the design of a correlation system for non-contact speed measurement with special attention to the application to rail vehicles.
Finally as a short cut to choose the system optimal design parameters a correlation between two objectives and fifteen decision variables with acceptable precision are presented using Artificial Neural Network (ANN).
When G6PD variants are analyzed in design space, a correlation is revealed between the phenotypic region and the clinical manifestation: the best region with normal physiology, the second best region with a pathology, and the worst region with a potential lethality.
To detect this difference, with power = 80%, in a before-after design assuming a correlation 0.5 within patient over time, about 200 patients in each group are needed (Stata IC, version 10).
We then design a spatial correlation coefficient matrix for multivariate spatial correlation, which is the ratio of the cross variogram of two types of hazards to the product of the variograms of the two hazards, showing a primary understanding of the degrees of spatial correlation among the twelve types hazards.
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