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Simulations reveal the superiority of this method in the presence of noise.
Furthermore, the comparison of recognition results with other three feature extraction methods demonstrates the superiority of this method.
Numerical examples are presented to validate the approach and the superiority of this method is also demonstrated.
The superiority of this method, compared to widely used fully explicit methods, with respect to CPU time and accuracy, is shown.
The superiority of this method over a Gram-Charlier expansion is demonstrated for an example taken from the condensation of atomic clusters on a surface.
Successful applications in environmental samples demonstrate the superiority of this method in the sensitive, accurate and rapid determination of trace aliphatic amines in micro amount of complex samples.
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However, the reason(s) and mechanism(s) for the superiorities of this method over suspended cultivation have not been fully understood yet.
This article provides the rationale and process of the calculation under this method, compares it with the existing method that needs Fourier Transform based on simulated interference signals, demonstrates the superiority of the method in this article, and confirms the precision of calculation with this method with data from experimental measurements.
With the characteristic superiority of accuracy, this method can improve the focus speed by 37%.
A series of computer experiments conducted on simulated and real-test responses have confirmed the superiority of the method developed in this paper.
In order to further illustrate the superiority of this proposed method in Figure 9, a comparison between it and the traditional CFAR method is shown.
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