HS_VaR_Backtest

HD-SDI信号的特征....................................(Features HD-SDI signals)

在高斯信道下的16QAM的仿真及误码率分析(16qam modulator and demodulator in fading channels for wireless communications )

gaussina lOW PASS FILTER

matlab经典函数教程文档matlab tutorial documentation classical function(classic function matlab tutorial documentation matlab tutorial documentation classical function)

说明：  伺服阀的详细数学模型，适合初学者研究，可以较方便更改(A detailed mathematical model of servo valve, suitable for beginners study, can be more convenient to change)

说明：  某厂生产甲乙两种口味的饮料,每百箱甲饮料需用原料6千克,工人10名,可获利10万元 每百箱乙饮料需用原料5千克,工人20名,可获利9万元.今工厂共有原料60千克,工人150名,又由于其他条件所限甲饮料产量不超过8百箱.问如何安排生产计划,即两种饮料各生产多少使获利最大.进一步讨论: 1)若投资0.8万元可增加原料1千克,问应否作这项投资. 2)若每百箱甲饮料获利可增加1万元,问应否改变生产计划. (Factory production of beverages and B in two flavors, each box 100 need a drink six kilograms of raw materials, workers 10 to 100,000 yuan profit B beverage cartons per cent five kilograms of raw materials needed, workers 20, the profitability of 90,000 yuan. this plant a total of 60 kilograms of raw materials, 150 workers, and because other conditions do not yield a beverage cartons more than 8 per cent. ask what arrangements the production of projects, namely the production of two the number of drinks to make the biggest profit. further discussion : 1) if the investment 08,000 yuan to increase one kilograms of raw materials and asked whether we should make this investment. 2) If a beverage cartons per cent profit increase 10,000 yuan and asked whether or not to change the production plan.)

论文的程序，与大家分享 应用混沌序列对水印信息进行置乱源代码 (Thesis process, and application of chaotic sequences to share information on scrambling watermark source code)

尺度不变特征变换算法和附加的matlab代码(sift transform matlab code)

选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)

Matlab script to generate symbolically equation of motion by using Lagrange method.