Chapter8ReadMe

field distrubution for non uniform optical medium

一个简单的gui界面，有具体的m文件格式，简单易懂(A simple gui interface, there are specific m-file format, easy to understand)

This program performs the Duane growth method with least-squares fit of an input data set to a straight line

由david vallado更新的轨道确定的程序代码，本程序融合sgp4和sdp4，包含193个文档(this procedure is the sgp4 prediction model from space command. this is an updated and combined version of sgp4 and sdp4)

The Wavelet Neural Network This is simple example for using of modified Morlet neural network. Levenberg-Marquardt with numerical Jacobian calculation implemented. Easy to use with other optimization algorithem e.g GA,PSO, etc. The function "xox_lm" may be useful for other optimization problem easily. The function "xox_jacobian" may be useful for Jacobian calculation easily. The function "NN_fcn" may be used by the evolutionary based neural network. The activation function "modified Morlet" will be replaceable by others.

基于蚁群算法的改进进行边缘检测，改方法可行，并且速度快，与传统算法进行比较。(Based on improved ant colony algorithm for edge detection, change the method is feasible, and fast, with traditional algorithms were compared.)

matlab的程序，光伏电站中太阳能电池的仿真模型，希望有用(matlab program, the simulation model of the solar photovoltaic power plants, I hope useful)

对数谱 语谱图和倒谱代码 适用于语音识别 说话人识别 自己编写 亲测可以运行(Logarithmic spectrum and spectrogram cepstrum code for voice recognition speech recognition to write your own pro-test can be run)

The XML Toolbox converts MATLAB data types (such as double, char, struct, complex, sparse, logical) of any level of nesting to XML format and vice versa. For example, >> project.name = MyProject >> project.id = 1234 >> project.param.a = 3.1415 >> project.param.b = 42 becomes with str=xml_format(project, off ) "<project> <name>MyProject</name> <id>1234</id> <param> <a>3.1415</a> <b>42</b> </param> </project>" On the other hand, if an XML string XStr is given, this can be converted easily to a MATLAB data type or structure V with the command V=xml_parse(XStr).

一维无序随机信号的小树变换处理，小树变换即treelet，是一种有效的高维的，无序的，杂乱的数据进行降维，特征提取的方法(One-dimensional disorder random signal processing, the saplings transform treelet tree transform namely, is a kind of effective high-dimension, disorder, messy data dimension reduction, feature extraction method)