ica_z

matlab image reading

SVM（支持向量机）参数寻优代码，可自动实现支持向量机的参数寻优(SVM (support vector machine) parameter optimization code that can automatically support vector machine parameter optimization)

仿真实现噪声调幅干扰信号,信号形式为一般形式，其中包含(simulation of noise moding jamming signal)

C#小波分析源程序，不同于matlab，完全底层的代码(C# source wavelet analysis, unlike matlab, full underlying code)

ace Detection Program for MATLAB 2013a using Gabor Feature Extraction and Neural Networks ---------------------------------------------------------------- 1- copy all files and directories to the MATLAB s work folder * In order to run the program you must have Image Processing and Neural Networks Toolboxes 2- (Important) Navigate to the root folder which contains "main.m". 3- Type "main" or "run main" in the command window 4. Only fort the first time, the program creates Gabor filters and stores them in ./data/gabor.mat Training set dataset and stores it in ./data/imgdb.mat Neural Network and stores it in ./data/net.mat 5- imgdb is short for "image data base". 6- When the program menu appears click on "Train Network" and wait until the program is done with the training

说明：  求解在弹流润滑条件下中心油膜厚度，使用温诗铸在其著作中的经验公式(Solving Central Oil Film Thickness under Elastohydrodynamic Lubrication)

CFD simulation of flux in coloocated grid

p值法 ，通用程序，需要稍微改动一下，一定要注意，。(p value method, common procedures, need to look a little change, we must note.)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

TWO STATE SEMI MARKOV LMS CHANNEL MODEL