LDA-PCA-classifier

ldpc在系统矩阵twoto下的系统仿真，在参数双可变情况下对系统输出的影响，matlab7.0编译通过()

matlabGUI编程，实现平面图像的水平分割，显示原图像，分割后矩形图像及分割后矩形四个角点的坐标值(matlabGUI programming, horizontal split plane of the image, display the original image, the rectangular coordinates of the four corner points of the rectangular image after segmentation and segmentation)

用快速傅里叶变换实现图像融合，将一个人脸上的妆融合到另一个人脸上(With fast Fu Liye transform image fusion, a person will face makeup into another face.)

说明：  particle swam optimazation technique

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)

Numerical Methods Using Matlab (4th Edition),John H. Mathews (Author), Kurtis K. Fink (Author).This book provides a fundamental introduction to numerical analysis. This book covers numerous topics including Interpolation and Polynomial Approximation, Curve Fitting, Numerical Differentiation, Numerical Integration, and Numerical Optimization. For engineering and computer science fields.

GUIWarfare,烈焰行动源代U文件，GUIWarfareGUIWarfare(GUIWarfare, flames action on behalf of U source file, GUIWarfareGUIWarfare)

这是初学真学习SINS的好程序，里面有较详细的注释，方便读懂程序。(This is a good beginner really learn SINS program, which has more detailed notes, easy to read program.)

用于查看地震资料的软件seiSee以及所需要的代码库，安装后即可使用(software seiSee for viewing the seismic data and the required code libraries, can be used after installation)

Run this m-file to see several examples of volume visualization in MATLAB.