tulunquxian1

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

interference improvement

相干光通信的matlab离线处理代码，非常有用的资料。。。。(Coherent optical communications offline processing matlab code, very useful information. . . .)

基于二元系的wilson能量参数的拟合，用于求算二元系的活度系数。(wilson model energy function fitting)

基于AFSA的光纤陀螺随机信号建模，跟大家交流下(AFSA based FOG random signal modeling, sharing with you the next)

Program for Facrotization of a matriz by LDH

基本粒子群算法 粒子群算法的基本matlab代码(The particle swarm algorithm)

有关kalman滤波及其一些变形滤波算法(Some code about Kalman Filters)

16 mpsk vs qask comparison of two techniques in matlab code

基于奇异值分解的卡尔曼滤波器的设计与实现，matlab代码(Design and Implementation based on singular value decomposition of the Kalman filter, matlab code)