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隐马尔可夫模型参数的极大似然估计,用来求解HMM的第三个问题(HMM maximum likelihood parameter estimates used to solve the third problem HMM)

简单的gui界面下的有关静定梁的受力分析(A simple gui interface on statically determinate beam Stress Analysis。)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

segmentation tools for segmention lazy snaping

基于matlab的非线性仿真，适用于不同环境(Applicable to different environments based on of matlab the nonlinear simulation)

matlab基本信号处理函数及matlab基本信号处理函数及实例实例(matlab基本信号处理函数及实例matlab基本信号处理函数及实例matlab基本信号处理函数及实例)

Restauration virtuelle de l’art pariétal paléolithique le cas de la grotte de Marsoulas

能够实现对三维点云数据的中值滤波、均值滤波、以及最小二乘滤波(Able to achieve a three-dimensional point cloud data, median filtering, mean filtering, and least squares filtering)

三电平变流器的SVPWM调制、平衡因子中点电压控制模型，运行效果好。(Three-level converter SVPWM modulation, balance factor midpoint voltage control model, good operating results.)

说明：  非线性动力学控制理论中的相图和分岔图绘图代码(Drawing Code for Phase Diagram and Bifurcation Diagram of Nonlinear Dynamics Theory)