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应用matlab处理统计学问题，含蒙特卡洛算法以及最大似然估计-Statistical analysis and simulation using MATLAB,Monte Carlo simulation and Newton-Raphson method to obtain maximum likelihood estimators are covered.
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We consider the source localization problem using
time-difference-of-arrival (TDOA) measurements in sensor networks.
The maximum likelihood (ML) estimation of the source
location can be cast as a nonlinear/nonconvex optimization
problem,
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递推极大似然法 递推极大似然法 递推极大似然法-Recurision maximum likelihood method Recurision maximum likelihood methodRecurision maximum likelihood methodRecurision maximum likelihood method
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最大似然（ML）准则和最大后验概率（MAP）准则，二维声子晶体FDTD方法计算禁带宽度的例子,均值便宜跟踪的示例。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Dimensional phononic crystals FDTD method calculation examples band gap, Example tracking mean cheap.
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