VOSSPCurve

是信号处理的基础，基于分段非线性权重值的Pso算法，通过反复训练模板能有较高的识别率，matlab编写的元胞自动机，用于图像处理的独立分量分析，利用贝叶斯原理估计混合logit模型的参数，可以实现模式识别领域的数据的分类及回归，信号处理中的旋转不变子空间法。( Is the basis of the signal processing, Based on piecewise nonlinear weight value Pso algorithm, Through repeated training KCajOMWlate have higher recognition rate, matlab prepared cellular automata, Independent component analysis for image processing, Bayesian parameter estimation principle mixed logit model, You can achieve data classification and regression pattern recognition, Signal Processing ESPRIT method.)

说明：  基于遗传算法的静态摩擦参数辨识，matlab6.5编写 (Genetic Algorithm Based on Parameter Identification of static friction, matlab6.5 prepared)

基于DCT的数字水印的Matlab仿真实现(Digital Watermarking Based on DCT of Matlab simulation)

详解matlab通信系统 第一章 代码 详解matlab通信系统 第一章 代码(Detailed communication systems matlab matlab code Comments chap chap code communication system)

OFDM SIMULATION HOW TO CREATE A OFDM SIGNAL

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)

这个程序实现与Matlab的优化工具箱下，用于给图进行边着色。包含了很多图论的程序，如计算最大割集、连通度、最小覆盖边数等等…… (This program is implemented with Matlab Optimization Toolbox for graph edge coloring. Contains a lot of graph theory program, such as the calculation of the maximum cut sets, connectivity, minimal covering the number of edges, etc. ...)

The following Matlab project contains the source code and Matlab examples used for two stage kalman fliter for system identification. Reference :Lei Y, Jiang Y Q. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

for generate signal with noise for filter app

this programm can meassure loss in propagation. this name is walfish ikegegami model