newtonzuisu

本压缩包中包括了几个常用的经典的数据挖掘算法，有k_means，CART，fuzzy_k_means，id3，SVM，很有实用性(The compressed package includes several commonly used classical data mining algorithms, there are k_means, CART, fuzzy_k_means, id3, SVM, is very practical)

说明：  Mathematical models- choice of model class LS

关于OFDM降低PAPR的方法，并给出了clipping前后的CCDF曲线图。(About OFDM PAPR reduction method, and gives the CCDF diagram of curves before and after clipping.)

MT4平台自带了一个自动交易的EA指标，这是macd+ma+kd系统EA(Macd+ma+kd system EA)

绘制眼图的matlab程序,可以用于通信系统中传输质量的监测。(Matlab draw the eye diagram of the procedure can be used in communication systems to monitor the transmission quality.)

matlab图像转换，本人开发的用于路径规划算法(matlab image conversion)

RAKE接收机直接序列扩频系统 一个简单的Simulink的直接序列扩频频谱与RAKE接收系统模型。 (For DS- SS systems RAKE receiver RAKE receiver direct sequence spread spectrum system with a simple Simulink spectrum and direct sequence spread spectrum RAKE receiver model.)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

this is the matlab programming to determine or analyze inrush current with variable voltage value

这是我用matlab写的一个寻找凸包算法的实现，该算法是基于graham算法的一个改进(the source realize an improvement algorithm of searching convex hull which based on graham algorithm in matlab)