Regression

wlan物理层接收模型，给出了接收器各种模型(wlan physical layer receives the model, various models are given receiver)

实现FASTICA算法，可以将高维数据映射到二维坐标上！(Achieve FASTICA algorithm can be high-dimensional data is mapped to the two-dimensional coordinate!)

《信号与系统》MATLAB仿真实验讲义.rar( Signals and Systems MATLAB simulation handouts. Rar)

高斯过程的协方差函数 及其选着 列出多个协方差函数

说明：  功率谱 welch 方法 there is a simple demo for non parameteric spectral estimation methods(Welch method of power spectrum there is a simple demo for non parameteric spectral estimation methods)

灰色预测模型是一种模糊预测算法，可以对信息不完全的或不知发展规律的变量进行预测(Gray prediction model is a fuzzy prediction algorithm, you can not know or incomplete information to predict the development of the law of variable)

Script for simulating binary phase shift keyed transmission and reception and compare the simulated and theoretical bit error probability Also this sript compare the performance of Uncoded BPSK with Coded BPSK

说明：  加速度计和陀螺仪求轨迹…………………………(Track finding of accelerometer and gyroscope)

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

用MATLAB解决真实世界的问题，再此介绍一个MATLAB查找地震中心的例子(Using MATLAB to solve real world problems。Here,we introduce an example which is to find earthquake center using MATLAB)