Lecture_CS_LWS_Final-Matlab

说明：  用Matlab实现主成分分析（PCA)算法.(Principal component analysis using Matlab implementation (PCA) algorithm.)

说明：  克雷格插值能三维绘图,能更准确的画出三维图像(3D plot with interpolation)

应用于扩频通信，关于PN码扩频，在matlab中的完整程序代码。(Applied to spread spectrum communication, spread spectrum on the PN code in matlab full program code.)

单像素的源文件，在matlab中打开，对重构单像素图像很有帮助(Single pixel of the source file in matlab open, single-pixel images on the reconstructed helpful)

绘制庞加莱截面图的程序。先通过solveLor.m来求出一系列点，然后代入Poincare_section 程序绘制庞加莱截面。 通过观察Poincare截面上截点的情况可以判断 是否发生混沌：当Poincare截面上有且只有一个不动点或少数离散点时，运动是周期的；当Poincare截面上是一封闭曲线时，运动是准周期的 当Poincare截面上是一些成片的具有分形结构的密集点时，运动便是混沌。 (Poincare section drawing program. First obtained by solveLor.m to a series of points, and then drawn into the program Poincare Poincare section. By observing the situation on the Poincare section cut points can determine whether chaos occurs: When there is only one fixed point or a few discrete points on the Poincare section, the motion is periodic When is a closed curve on the Poincare section, the motion is quasi- When is the point of having a dense fractal structure on some stretches of the Poincare section, the motion is chaotic period.)

matlab神经网络工具箱很好的东东分享下(matlab neural network toolbox, under a good Dongdong Share)

ISM算法的matlab代码实现，通过对不同波到阵列的接收情况分析波达方向的matlab代码(The matlab code of ISM algorithm)

假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。 在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 (Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )

FLch7BNNeg1.zip--改进的神经网络MBP算法对噪声系统辨识程序(FLch7BNNeg1.zip-- improved neural network algorithm for noise MBP system identification procedures)

统计代码行、注释行、空行、同时统计函数个数和行数，将代码、注释和空行进行风格评分 (Statistical lines of code, comment lines, blank lines, while the number of statistical functions and the number of rows, the code, comments and blank lines carry style ratings)