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In order to fit various common distribution programs, such as the Weibull distribution, Rayleigh distribution, K-distribution, and more, we use the MATLAB programming language. This allows us to more accurately analyze and model the data, taking into account the unique properties of each distribution. By utilizing this powerful tool, we can gain deeper insights into the underlying patterns and trends in the data, ultimately leading to more informed decision-making and better outcomes. Additionally, the flexibility of MATLAB allows us to easily customize and fine-tune our models as needed, ensuring that we are always working with the most up-to-date and accurate information available. Overall, our use of MATLAB and sophisticated distribution modeling techniques represents a significant advance in our ability to understand and make use of complex data sets, and we are constantly exploring new ways to leverage this technology to drive further innovation and success in our work.