PVsystem

读取语音信号 对语音信号进行分帧 加矩形窗 傅立叶变换 并且实现倒谱(Read the speech signal of the voice signal framing plus Fourier transform rectangular window and realize cepstrum)

压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门例子(compressive sensing compressed sensing)

无线通信中的优化技术，原书，通过对现有已运行的网络进行数据分析、现场测试数据采集、参数分析、硬件检查等手段，找出影响网络质量的原因，并且通过参数的修改、网络结构的调整、设备配置的调整和采取某些技术手段。(Optimization of wireless communications technology by Sergiy A. Vorobyov and Yonina C. Eldar, the original book, through the existing network has been in operation for data analysis, field test data acquisition, parameter analysis, hardware checks and other means to identify the factors affecting the quality of the network, and by modifying the parameters of the network structural adjustment, and the adjustment device configured to take certain technical means.)

用于进行MNF变换，mnf用于对高维数据进行降维，特征提取(For MNF transformation, MNF is used for dimensionality reduction and feature extraction of high-dimensional data.)

用Matlab作图时，特别是所作的图是要用于科研论文投稿时，对图的大小有一定要求。但用缺省设置作图时，图的大小不能控制，而且常常有大块的空白。本程序可控制图的大小和位置，并能自动去掉空白。(Using Matlab mapping, especially of the map is to be used for scientific research papers submission, the size of the map has a certain requirement. However, when using default settings mapping, map the size of control, often have large gaps. This procedure can control the map size and position, and can automatically remove blank.)

parzen 窗函数 对样本进行有效分类(parzen—window function)

说明：  主成分分析.mht：介绍主成分分析的文章 edgepick.m：本程序的目的是实现边缘检测 drawprim.m：找到最大主分量所在的位置，从而在原图象中绘出 practical.m：一个主分量的程序，边缘检测和主分量提取 prin.m：该程序是用princomp函数来提取矩阵的主成分(Principal component analysis. Mht: the article describes the principal component analysis edgepick.m: The purpose of this program is to achieve edge detection drawprim.m: to find the location of the maximum principal component, which in the original image in the draw practical.m: a principal components process, edge detection and principal component extraction prin.m: princomp function of the program is to extract the principal component matrix)

用阵列光电传感器实现空间窄带陷波功能时，采用右图所示的空间权重结构：共有N=2M+1个敏感元件，各敏感元件宽为w，间距为p，中心处敏感元件的权重为+2M，其他2M个敏感元件的权重皆为-1。求此权重函数的傅立叶变换及空间功率谱，并绘图说明当N=7，p=1mm，w=1/３mm时的空间功率谱的零点特征及其应用意义。(With a photoelectric sensor array to achieve narrow-band notch function space, with the weight shown on the right of the space structure: a total of N = 2M+1 a sensitive element, the sensor width w, spacing p, the center of the sensitive components of weight+2 M, 2M a sensitive element of the other weights are all-1. This function find the Fourier transform of the weight and space power spectrum, and the drawing shows that when N = 7, p = 1mm, w = 1/3mm space power spectrum at zero characteristics and application significance.)

小车倒摆的控制文件。在matlab中运行，对初学者有用 (Car inverted pendulum control file. Run in matlab, useful for beginners)

去趋势波动分析的开发程序，共享给大家，谢谢。(Detrended fluctuation analysis of the development process, for everyone to share, thank you.)