CV_CT_STF

压缩感知用于信号重构恢复的程序，包括测量矩阵的修改(Compressed sensing for signal reconstruction recovery procedures, including measurement matrix changes)

dirfield7 2D draws the direction field of the system of differential equations

多目标问题中的评价指标如 IGD，GD,Space，epsilon等指标，matlab编译(metrics of MOP: IGD,GD,Space,epsilon...)

用于实现灰度图像阈值分割的二维最大熵方法，很好用，希望对大家有帮助。(Used to achieve gray image threshold segmentation of the two-dimensional maximum entropy method, matlab source.)

能读取具有位置和机动信息的雷达数据,并将其按地址存储！(read and store the radar data!)

利用MATLAB绘制图形，并用鼠标拖拉矩形框，选中图形局部放大后，绘制在原图形的右上角，使得局部细节更清晰(Using MATLAB to draw graphics, and drag a rectangle with the mouse, select the graphics local amplification, drawn in the upper right corner of the original graphics, making the local details more clearly)

说明：  输入波形信号，就可以输出时频分析的结果输入波形信号，就可以输出时频分析的结果(Input waveform signal, you can output the results of time-frequency analysis of the input waveform signal, you can output the results of time-frequency analysis)

说明：  AR模型预测，matlab环境下用AR谱估计算法实现AR模型谱估计(AR model prediction, matlab environment AR spectral estimation algorithm AR model spectrum estimation)

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

folyd算法的matlab，很好用~非常适合在图论中的应用~(folyd algorithm matlab, with very good ~ very suitable for application in Graph Theory ~)