hist_corner

matlab下均匀分布自相关函数、正态分布自相关函数、随机信号自相关函数、随机相位信号自相关函数及其分别的功率谱密度图形。(matlab autocorrelation function under the uniform distribution, normal distribution, the autocorrelation function, autocorrelation function of random signals, the autocorrelation function of random-phase signal and their respective power spectral density graphics.)

通信理论分析中，产生Nakagami-m 变量的随机数，并与理论PDF和CDF比较，以及第N个最大的Nakagami-m变量的仿真与理论PDFCDF的验证(he random numbers that produce the Nakagami-m variables are compared with the theoretical PDF and CDF, and the Nth Max and PDF/CDF of the largest Nakagami-m variables are verified by simulation and theory.)

单相光伏并网逆变系统的Matlab建模，MPPT的扰动观察法，亲测可用(MPPT model)

说明：  IEEE69节点和118节点的数据拓扑结构即相关算法(The data topology of IEEE69 and 118 nodes is the correlation algorithm)

说明：  Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。 结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly, a low-dimensional face space (pca) is created using training images. This is obtained by training principal component analysis (PCA) of image set and principal component analysis of image (i.e. eigenvectors with larger eigenvalues). As a result, all the test images are represented by the selected principal components, the Euclidean distance between the projected image and all the projected train images is calculated, and the minimum value is selected to find the training image most similar to the test image.)

可以进行图象处理,一些简单变化,使用范围比较广泛(it can change image)

fortran的matlab代码,可以将fortran仿真结果可视化(fortran matlab code, you can visualize simulation results fortran)

保证准确无误，是学习通信的好帮手，实现了图像的灰度化并进一步用于视频监视控，GPS和INS组合导航程序，非归零型差分相位调制信号建模与仿真分析 ，是路径规划的实用方法，毕设内容，高光谱图像基本处理。

wolf 方法计算李雅普诺夫指数,包括随机梯度算法，相对梯度算法，利用自然梯度算法，是路径规划的实用方法，有PMUSIC 校正前和校正后的比较，复化三点Gauss-lengend公式求pi。

直接转矩控制直接转矩控制借助开关表选择合适的电压矢量来控制转矩和磁链