Matlab

黑箱优化算法，挺不错的，希望大家喜欢(Black-box optimization algorithm, very good, and I hope everyone likes)

Matlab_Simulink模型到C_C_代码的自动实现(Matlab_Simulink model to C_C_ code automatically)

一张图片是之前用摄像机采集的，另一张图片是经过离散沃尔什变换再量化编码压缩后又解压所得，能看出区别吗？呵呵。flik.m是原图，newflik.m是新图。 附上所有MATLAB源程序，有兴趣的话，你也可以用这几个程序对自己的照片“加工”一番。以下6个程序分别保存为6的m文件，文件名与下面给出的一致。待“加工”图片应该存放在Matlab的Work目录下。(Before a picture is collected by the camera, another picture is the result of discrete Walsh transform and then re-quantization coding compression decompression income, you can see the difference? Ha ha. flik.m is the image, newflik.m is a new map. MATLAB source code attached to all interested, you can also use these procedures on their own photo processing of something. The following six procedures were saved as 6 m file, the file name is given with the following consensus. To be processing picture should be stored in Matlab s Work directory.)

LBM 初学者的资料，模拟的各个部分都有很详细的分析(this is the materials for the freshman of LBM study,it is good tool)

用于arduino的加速度传感器MPU788的库文件(library file of MPU788 for Arduino)

内含visual C++和MATLAB代码，利用高斯呼喝模型进行背景建模，自适应确定高斯分量的个数，由Z.Zivkovic开发，相关文章是 Improved adaptive Gausian mixture model for background subtraction(Containing visual C++ and MATLAB code, the use of Gaussian background modeling feeding model, adaptive determine the number of Gaussian components, developed by Z.Zivkovic related article Improved adaptive Gausian mixture model for background subtraction)

基于深度优先搜索的电力系统分区：根据节点连接关系确定节点的所属分区，即系统最终分成多少个区域、每个区域包含哪些节点。(Power system Partition based on deep search according to connectivity , i.e., determining the number of sections and nodes in each section.)

说明：  matlab经典的一些算法程序集锦，包括插值拟合，解方程，数值分析等等(matlab algorithm program highlights some of the classic, including the interpolation fitting, solving equations, numerical analysis, etc.)

微小型MEMS陀螺的误差特性研究，对于mems陀螺仪误差建模和补偿方法(Miniature MEMS gyro error characteristics of the MEMS gyroscope error modeling and compensation method)

在MATLAB实现的用C实现的KNN算法，输入训练数据文件，和test文件，进行预测分类，并且可以与真实情况比较测试预测正确百分比(Implemented in MATLAB KNN algorithm implemented in C, the input training data file, and test files, to predict the classification and testing with the real situation is more correct percentage of predicted)