Ali_ga_test

这是一个关于BPSK的代码编程，有兴趣的读者可以关注一下！！！(BPSK)

这是一个matlab航天工具包 包括一定的解释说明 很好用 希望对大家有帮助(This is a space Matlab tool kits must include an explanation with good wishes to be helpful)

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.)

亲测可用，完整版cca分析ssvep信号，可能没有数据，但是程序是好的(Pro test can be used, the full version of CCA analysis of SSVEP signals, there may be no data, but the program is good)

说明：  图4.7给出了V=4，相位集合的相位数分别为P=1、2、4、8时的随机分割的PTS-OFDM系统的CCDF的性能图。仿真参数：分割方法为随机分割，子载波数N=128，子载波数据采用QPSK调制，仿真的OFDM符号数为1000个。(Figure 4.7 shows the V = 4, the phase of the collection phase, respectively P = 1,2,4,8 were separated when the PTS-OFDM system performance CCDF graph. Simulation parameters: Segmentation of random division, the number of subcarriers N = 128, sub-carrier data using QPSK modulation, simulation of the OFDM symbol number 1000.)

在matlab环境下对EXCEL文件进行读写操作，适合初学者学习借鉴。(In the matlab environment EXCEL file read and write operations, suitable for beginners to learn.)

读取压缩包中类似格式的txt文件绘制扇形包络图(Read txt file compression format similar to drawing package envelope fan)

主动降噪算法集合,active noise reduction(active noise reduction)

对风电功率的预测 时间序列预测 卡尔曼滤波预测 (Prediction of wind power time series prediction Kalman filter prediction)

matlab 卡尔曼滤波实际例子，附带详细注释(Kalman filter matlab practical examples, with detailed notes)