ls_esprit

说明：  车牌检测的Matlab程序。有很好的检测效果 检测出来后截取并归一化。(License plate detection of Matlab. Good detection results detected and normalized after the interception.)

二维插值的应用。二维插值主要应用于图像处理和数据的可视话。主要方法有：最邻近插值；双线形插值；三次样条插值等方法。该源码可以看出其中区别。(Application of two-dimensional interpolation. Two-dimensional interpolation is mainly used in image processing and visualization of data words. Main methods are: the nearest interpolation double linear interpolation cubic spline interpolation and other methods. The source can be seen the difference between them.)

对经过椒盐噪声处理的图像进行均值滤波和中值滤波的MATLAB程序，可直接运行得到图形结果（原创）。(The Median filter and Mean filter for a figure processed by salt and pepper noise.)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

一篇非常经典且全面的多视点方面的综述性文章，研究3ＤＴＶ领域的同仁会用得到(a very classic paper on multiview)

CAPM代码，资本资产定价模型在Matlab中的实际应用。(Capital Asset Pricing Model with Missing Data)

经典航迹关联算法，包括加权关联，序贯关联，模糊关联，以及小波处理后性能对比仿真(Classical track correlation algorithm, including weighted association, sequential correlation, fuzzy association, and performance comparison simulation after wavelet processing)

基于特征评估及约简的邻居粗糙集方法，可以用于粗糙集属性约简(Feature-based assessment and neighbors rough set reduction methods )

图像传输过程中，经常会受到各种噪声的干扰，本程序采用邻域平均法来减少噪声(In the process of image transmission, there will be various noise interference always,this program is to reduce noise base on Neighborhood average method. )

Creates a sinewave in matlab. Can be used to creates waves to test filters