LU

用MATLAB分析偏微分方程，使用专门代码和PDFTool(Analysis of partial differential equations with MATLAB, the use of specialized code and PDFTool)

利用背景预测方法进行弱小目标检测，取得了比较好的效果。是用源图像减掉了背景得到残差图像进行检测的(dim target tetection using background prediction method)

采用行均值相减法抑制温度场的非线性影响，增强目标点，利用形态学方法抑制背景并保留高亮区，搜索局部极大值，利用阈值分离出目标，实现红外点目标的检测(enhancement of point target are carried out by inhibiting nonlinear influence in temperature field with line average subtracting，Inhibiting background and maintaining high brightness area are implemented by using Top-Hat operator morphological filtering，then The targets are separated off from searching for local maximum。this program realize the detection the infrared small target)

波束形成的一些程序 极坐标下的 有圆阵和线阵(Beamforming polar coordinates some of the procedures under the circular array and have linear array)

koch曲线，分型课程中经常用到的，很好(koch)

一种比较好的抗锯齿算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.(A better anti-aliasing algorithm Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots.See attached screenshot for a demonstration. More examples included in the code, just run help myaa. Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish (test.m, opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.)

matlab demo code .. .. .. ..

IP1101 circuit application

大津法实现图像阈值分割的matlab源程序代码(Otsu Thresholding Image source code matlab)

Get Snapshot From avi File Capture Picture From Avi File