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通过应用matlab实现高斯算法，用EM估计GMM的数据参数，并把运算时其遗漏数据补全(Matlab achieved through the application of Gauss algorithm estimates GMM data parameters EM, and the missing data when computing its complement)

说明：  图像边缘检测的各种算子的编程实现及与系统内部程序比较实例(A variety of edge detection operator programming and internal procedures and systems to compare instance)

曹梦龙 仿真大实验 实验四包括所有有用数据(Caomeng Long simulation experiment in Experiment 4, including all useful data)

已采集线性震动系统（钢板）的输入与输出（时域幅值），求解系统数值解，幅频特征，并作图比较。(Have been collected linear vibration system (steel) input and output (time domain amplitude), numerical solution for solving the system, the amplitude-frequency characteristics, and mapping to compare.)

本matlab程序用乘子法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program for solving the minimum multivariate model using multiplier method (given initial point and precision conditions).)

分数阶陈系统的Adomian分解法，由于传统的Adams方法(Fractional order Chen system, Adomian decomposition method, as the traditional method of Adams)

三位图像成像代码，内含成像代码和实例，仅供参考和交流学习(Three image image code, image code and examples included for reference purposes only, and exchange of learning)

Spectral analysis of discrete deterministic signals

PV_MPPT 很好的光伏最大功率跟踪控制(PV_MPPT good photovoltaic maximum power tracking control)

包括主成分分析、因子分析、贝叶斯分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，是机器学习的例程，基于chebyshev的水声信号分析，在MATLAB中求图像纹理特征，阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料，使用混沌与分形分析的例程。( Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Machine learning routines, Based chebyshev underwater acoustic signal analysis, In the MATLAB image texture feature, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction, Use Chaos and fractal analysis routines.)