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The FO-CDS stack method provides a super input for further imaging.
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Figures 18 20 illustrate the simulation results for a super-Gaussian input signal.
Figure 19 Comparison between experimental and theoretical kurtosis ratios for super-Gaussian input signal.
For the super-Gaussian input signal, the speech distortion originating from BF+SS is less than that from chSS+BF.
On the other hand, and are utilized for BF+SS and and are utilized for chSS+BF for the super-Gaussian input signal.
Furthermore, the theoretical kurtosis ratio and noise reduction performance closely fit the experimental results in Figures 19 and 20. Figure 18 Results for super-Gaussian input signal.
For the super-Gaussian input signal, in contrast to the case of the Gaussian input signal, the noise reduction performance of BF+SS with is greater than that of chSS+BF (see Figure 18(b)).
(a chSS+BF (b BF+SS (η = 0.0) (c BF+SS (η = 0.2) (d BF+SS (η = 0.4) (e BF+SS (η = 0.8) Figure 20 Comparison between experimental and theoretical noise reduction performances for super-Gaussian input signal.
For, which corresponds to a Gaussian or super-Gaussian input signal, it is revealed that the noise reduction performance of BF+SS is superior to that of chSS+BF from the numerical simulation in Section 5.3.
A key contribution of this study is our novel simulation methodology (Super-Method Input Data Generator, or SMIDGen) that better reflects biological processes and the practices of systematists than earlier simulations.
This involves excising parts of the APM data and using these as super-cell inputs to calculations of materials properties via density functional theory.
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