NeuralNetworkToolbox

The model of OFDM receiver using Matlab.

说明：  CRC校验码的MATLAB实现 生成多项式【1 1 0 0 1 1】 结果正确 可以直接使用(CRCcheck.m)

绘制带通滤波器的图形 坐标的对应关系已改 同时绘图 data:12.12(Bandpass filter graphics rendering coordinate correspondence has been changed while the drawing data: 12.12)

matlab面板数据多元回归方程 boxcox转换代码(boxcox transform code in M-file)

matlab代码 实现提取动作分类用到的肌电信号四种特征： mav（平均绝对值） ssc（斜率变化率） zc（过零率） wl（窗长）(implement in matlab ,to etract features of emg signal: mav,ssc,zc,wl)

simulink自制锁相环。。。。。包括一些简洁结构(PLL simulink made. . . . .)

改变声音信号采样频率。应分别考虑由低到高和由高到低，最好包括声音采集和回放等功能。(To change the audio signal sampling frequency. Should be considered separately from low to high and high to low, preferably including audio capture and playback functions.)

简单旅行商或货郎担问题的matlab程序实例主代码，具有易学易用的特点(Simple traveling salesman or a traveling salesman problem matlab program example main code, with easy to learn and easy to use)

动态矩阵控制的matlab程序 系统模型是一阶纯滞后系统(matlab dmc)

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.)