Abstract
A weighted Monte-Carlo experimental measurement is proposed to simulate the random process behaviors of a large and complex MIMO (multiple-input and multiple-output) system. Trying to accurately describe the system with experimental data as little as possible, a method of integrated database with modified Interpolation and Lagrange Polynomial is developed. Although the research is initialized for empirically resolving the control of large and complex MIMO system, it also provides an effective and useful method of data reduction in general to meet the urgent needs of modern data acquisition and data treatment.
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