power_3phPWM3level

基于matlab的BPSK-AWGN编程(hbfghgfhngfhgfjnhgjhg)

全MATLAB仿真的程序，没用到SIMULINK(MATLAB simulation of the whole procedure, no use to SIMULINK)

Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors aM = assume that the mean is aM n = number of principal components to extract (optional) <output> V = ensemble of column eigen-vectors D = vector of eigen-values M = mean of X (optional)

TSP问题是一个组合优化问题。该问题可以被证明具有NP计算复杂性。该程序对于理解TSP问题会有较好的作用。(TSP problem is a combinatorial optimization problem. This problem can be shown to have NP computational complexity. The program will be better for understanding the role of the TSP.)

foeward featurrselection

说明：  K-MEAN:经典K均值算法,适用领域：语音识别，图像识别(K-MEAN: classical K-means algorithm, the application areas: speech recognition, image recognition)

采用最小二乘原理，进行了伪距单点定位计算；包含广播星历计算计算卫星坐标，地固系与WGS84坐标系间转换，最小二乘平差计算，定位几何因子GDOP等(Using least square method, we carried out pseudorange single point positioning calculation contains satellite ephemeris calculation calculate coordinates secured between the system and the WGS84 coordinate system conversion, least squares adjustment calculation, location and other geometric factor GDOP)

使用相位相关法对视频中的两帧图象进行预测编码，画出运动场并求出峰值信噪比(Using the method of relevant video phase two frames image coding, predicting playground and peak value signal-to-noise ratio)

在matlab中利用Volterra非线形滤波器进行系统辨识，并带有一个应用示例。代码带有详细注释。(In the matlab filter using Volterra non-linear system identification, and with an application example. Code with detailed comments.)

该代码是对人脸进行光照处理，先进行gamma变换，然后进行Dog双边滤波，然后进行灰度亮度的均衡。该方法能够有效提高光照变化的情况下的系统识别性能(The code is the human face of light treatment, the first for gamma conversion, and then Dog bilateral filtering, then the brightness of the gray balance. The method can effectively improve the illumination changes in the case of system identification performance)