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What is the statistical treatment used in Design and Analysis of Parabolic Reflector Using MATLAB? 


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The statistical treatment used in the design and analysis of the parabolic reflector using MATLAB is the response surface modeling approach. This approach involves performing a detailed statistical analysis to analyze the synergistic effects of independent design parameters on the responses. It uses the response surface modeling technique to establish the relationship between the design parameters and the desired outcomes. The optimization process is then carried out to obtain the set of optimized design parameters that meet the specified optimization criteria . Additionally, the particle swarm optimization (PSO) technique is incorporated for conjugate matching to estimate the mode coefficients and relative phases in the matched feed design .

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The provided paper does not mention any statistical treatment used in the design and analysis of the parabolic reflector using MATLAB.
The paper does not mention any statistical treatment used in the design and analysis of the parabolic reflector using MATLAB.
The provided paper does not mention the use of MATLAB or any statistical treatment.
The provided paper does not mention any statistical treatment used in the design and analysis of the parabolic reflector using MATLAB.

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