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Some of the parameters which provide cues to distance of the sound sources are correlated in a natural reverberant environment.
The parameters which provide the highest correlation coefficient are considered for filter design.
Among them is the estimation of growth parameters which provide the basis for biological modeling and site-specific management.
The most favorable parameters, which provide a complete carbon disulfide removal from air, are determined for all steps of the purification process.
The criteria given can be easily verified and possess many adjustable parameters, which provide flexibility for the design and analysis of the system.
We also develop new weight functions and derive constraints on their parameters, which provide consistency, much faster convergence of the high-order ESWENO schemes to their underlying linear schemes for smooth solutions with arbitrary number of vanishing derivatives, and better resolution near strong discontinuities than the conventional counterparts.
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Closed loop reference model adaptive controller is used for identifying adaptive parameters, which provides improved performance without introducing undesired oscillations.
A unique attribute of the model is its ability to calculate the standard deviations of the parameters, which provides information on the variability of coating performance.
The criteria given are easily verified and possess many adjustable parameters, which provides flexibility for the design and analysis of the system.
Then, genetic algorithm (GA) is applied to search the corresponding electrical parameters, which provides a more effective and intuitive way to design filters.
In addition to new best fit values for all rate parameters, the covariance matrix of the optimized parameters, which provides a quantitative description of the temperature-dependent ranges of uncertainty for the optimized rate coefficients, was calculated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com