MachineLearning

阐述了遗传算法的基本原理,对MATLAB 遗传算法工具箱(GAOT) 的参数使用进行了详细介绍,探讨了MATLAB 遗传算2008080116565263(Expounded the basic principles of genetic algorithm, the MATLAB Genetic Algorithm Toolbox (GAOT) using the parameters described in detail, discusses the MATLAB Genetic Operators 2008080116565263)

generation of various types of signalling waveforms

matlab中的命令集合，准确的使用matlab命令操作(the matlab command collection accurate use matlab command operation)

关联向量机，很好的工具箱，有用于分类和回归的例子(Relevance vector machine, a good toolbox, there are examples for classification and regression)

说明：  《MATLAB语言常用算法程序集》一书的源程序(&quot MATLAB language commonly used algorithm for assembly,&quot a source book)

本文深入研究了复杂调制信号MPSK、MQAM的倍号子类以及常用恒包络信 号OQPSK、or／4 QPSK、MSK的调制识别披本。在鳆种基本调制识别方法即基于特征提取的方法和基于最大似然的方法的纂础上采用四种算法分别对上述信号进行识别研究。(This article studies the complex modulation signals MPSK, MQAM number of times and the common sub-class of constant envelope signals OQPSK, or/4 QPSK, MSK modulation recognition of this disclosure. Abalone species in the basic modulation recognition method that is based on feature extraction methods and maximum likelihood methods based on the Article on the foundation of four algorithms to identify each of these signals.)

7Tap切比雪夫宽带传输线阻抗变换器设计(The 7 tap chebyshev broadband transmission line impedance transformer design)

我们可以运用这个程序来计算信息论中的一个算法度量，度量数列互信息的大小(we can use it to calculate the multi-information)

本代码包含M序列和GOLDEN序列的生成，以及基于MMSE的自适应多用户(This code contains the M sequence and GOLDEN sequence generation, as well as the MMSE-based adaptive multi-user)

这个小程序可以简单的选取回归分析中box-cox变换的lambda值，通过matlab强大的矩阵运算功能可以通过简单比较RSS值的方式来得到lambda，使用时只需要输入实验值矩阵X和Y即可，然后输入minRSS（X，Y）就能简单明了的看到最优变换参数 （这个程序虽然小但是学习回归分析的初学者学习时都会经过这个算法，上载时因为不到1KB所以我又放了个文本格式的）(This little program can select a simple regression analysis of box-cox transformation of lambda values, through the powerful matlab function matrix calculation can be relatively simple way of RSS to get the value of lambda, the use of only need to enter the experimental data matrix X and Y can be , and then enter the minRSS (X, Y) will be able to see the simple optimal transformation parameters)