AWGNtest

《Matlab时频分析技术及其应用》电子书。()

模式识别中常用的算法，有感知机算法，支撑矢量机算法和LS算法，并附有实验报告，源程序！(Commonly used pattern recognition algorithms, has perceptron algorithm, support vector machine algorithm and the LS algorithm, along with lab reports, source code!)

matlab files fro the water fall curves

生成PSK信号。并基于NI的软件无线电平台发送射频信号(PSK signal is generated. And software radio platform based on NI RF signal sent)

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.)

unitary esprit 算法的matlab程序，对于学习DOA估计很有帮助，m文件，无错误(unitary esprit algorithm matlab program, DOA estimation helpful for learning, m file, no error)

这是一个把神经网络直接应用于轴承的故障诊断的程序，输入轴承的信号，直接得答案(This is a direct application of neural network in bearing fault diagnosis procedures, input bearing signal, a direct answer)

A*算法路径规划，程序中采用随机障碍物，通过躲避障碍物来完成路径的规划(A* algorithm; path planning)

双离合变速器，主要是对变速箱进行simulink仿真，模拟动力传输路径(DCT transmission)

实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。(ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose of prediction. The decision tree training set of data according to the formation of the first decision tree, if the tree can not give the correct classification of all objects, then select a number of exceptions to the training set data, repeat the process until the correct decision set.)