RSmatlab

现代通信系统第二版的源代码（非常全面）学习通信编程的必备。(The source code for the second edition of the modern communication systems)

matlab progeram for optimization

雷达系统仿真分析,实现MTI，MTD脉压等各项操作(simulation of radar system)

用matlab实现支持向量机分类算法，通过对数据进行测试训练来进行分类(Using matlab implementation support to the classification algorithms to data, through testing and training to categorize )

本文对偏振光干涉理论进行了MATLAB 设计与仿真，在分析偏振光干涉现象模型的基础上，运用MATLAB 工具实现了偏振光干涉现象的计算机仿真，使这一抽象而复杂的物理现象变得直观、简单，且容易理解。(Polarized interference theory, design and simulation of MATLAB, polarized interference computer simulation using MATLAB tool based on the analysis of polarized light interference phenomenon model so abstract and complex physical phenomena become intuitive, simple, and easy to understand.)

我最近写的一篇论文的源码，主要是对带参考信号的 ICA算法的扩展，多参考信号的ICA固定点算法。(I recently wrote a paper source, mainly for reference signal with the ICA algorithm expansion more reference signal ICA fixed-point algorithms. )

解析wrf数据，并转化为格点数据,并可以定位任意时次的数据(convert wrf data to grid data)

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

Visual C++_MATLAB图像处理与识别实用案例精选(Visual C++ _MATLAB practical image processing and recognition of selected cases)

说明：  基于FXLMS算法的主动噪声控制，完成的是单频率的前馈双通道的主动噪声控制算法(Active noise control based on FXLMS algorithm, which completes a single-frequency feedforward dual-channel active noise control algorithm)