CreateRefChannels

说明：  适用Otsu方法做阈值分析。阈值决策的依据是最大类间方差，这种方法的依据就是类间方差，本程序仅仅适用与二分类问题。(thresholding algorithm using Otsu)

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MUNK剖面声线结构仿真,加载数据可以验证可行性，希望对您有帮助。(MUNK voice sectional structural simulation, load the data to verify the feasibility of, I hope for your help.)

使用个股日内髙频收益率计算己实现值进行分析,同时计算得到二阶矩 和高阶矩值并进行对比。本文根据己实现量的大小将所有样本股分为己实现值由 小到大的姐别,分别跟踪各股票组合的收益,探索预期收益与个股己实现值之间 的变化关系,然后将分组的结果应用于多空策略,为提高资产配置收益提供参考。 同时,将各己实现变量和各类对预期收益产生影响的控制变量放在一起构建 Fama-MacBeth截面回归,分析高频已实现量是否具有定价能力。(The realized value is calculated by using the daily gust rate of return of individual stocks, and the second-order moments are obtained by calculating at the same time. Comparisons are made with higher order moment values. This paper divides all sample stocks into realized values according to the size of realized stocks. Sisters from small to large track the earnings of each stock portfolio, and explore the relationship between expected earnings and the realized value of each stock. Then the grouping results are applied to the multi-empty strategy to provide reference for improving asset allocation returns.)

彩色车牌分割。定位车牌。matlab程序(Segmentation of color plates. Positioning plate. matlab program)

contrast of an image

Instructions: Unzip the selected file (A.zip or B.zip) in Matlab current directory (C:/.../Matlab/work is the default one). Type the name of main function on Matlab command window. Now a simple and intuitive GUI should appear. You can use images/data present in data.zip: just unzip them in Matlab current directory.

本程序给出了从背景中分离出行人的matlab源代码.采用提取好的背景和行人的HOG特征,而这些特征又分为未分块和分块两组,所谓分块就是将图片进行细分,提取的特征更细.最后用最小欧氏距离法分类.(This procedure gives the background to separate from the travel people matlab source code. By extracting a good background and pedestrian HOG features, and these features are not divided into blocks and blocks Liangzu, the so-called sub-block is to carry out detailed pictures points, the extracted features more detailed. Finally, the smallest Euclidean distance classification.)

粒子滤波一个小演示源码，比较好用，有需要的赶紧下吧-Part.rar(Particle filter a small demonstration source, relatively easy, there is a need to quickly lower right-Part.rar)

matlab code for LMI.