matlab

MATLAB Simulation of OFDM System

Occam2-D fortan的二维反演(Fortan the OCCAM two-dimensional inversion)

在matlab环境下，采用pde方法编程实现了ＭＣＭ方程(In matlab environment, the use of PDE method of programming the MCM equation)

结合实例详细介绍了各种改进的PSO算法及应用(Detail with examples of various improved PSO algorithm and application)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

simple bldc motor with mechanism

一种基于和声搜索算法的配电网重构算法，并在IEEE33节点上进行算例的验证。(Harmony search algorithm based distribution network reconfiguration algorithms and validate numerical example in IEEE33 node.)

This is about QPSK modulation in simulink.

matlab从入门到精通第9章书后源码对初学者很有帮助(matlab)

相位编码信号的优化设计及脉压副瓣抑制方法研究(Optimization of the phase coded signals and pulse pressure method for suppressing sidelobe )