d_corner

MATLAB的入门的PPT,目的为了更好的学习MATLAB工具(MATLAB entry of the PPT, the purpose of study in order to better MATLAB instrument)

说明：  这是一个关于OQPSK的Matlab程序 这是一个关于OQPSK的Matlab程序 (This is a OQPSK the Matlab program is a program of OQPSK in Matlab)

说明：  一些MATLAB的例子，希望对大家有帮助(some examples, and I hope to be helpful)

matalb教程，涉及到卡尔曼滤波问题的基础教程，线性系统、随即系统、周期系统、非线性系统等的分析(matalb tutorials, related to Kalman filtering problem based tutorials, linear systems, then systems, periodic systems, nonlinear systems analysis)

有两个程序一个是关于frft的源程序，一个是应用frft对线性调频信号进行检测的程序，原理是以变换阶数（不同的分数阶域）为变量对观测信号进行分数阶变换，形成信号能量在时频平面上的二维分布，在此平面上按阈值进行峰值点的二维搜索即可检测线性调频信号并估计其参数。(There are two procedures one on frft the source, one application frft linear FM signal detection process, the principle is to transform the order of (different fractional domain) as the independent variables on the observed fractional signal change, the formation of signal energy in two-dimensional time-frequency plane distribution in this plane, the peak threshold value by two-dimensional linear FM signal can be detected search and estimate its parameters.)

利用matlab编写的牛顿拉夫逊法潮流计算程序，可以有效地对潮流进行分析运算(Newton-Lafson power flow maltab program )

beamforming in antenna

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.)

adaptive filtering with matlab

傅里叶对干涉相位梯度进行变换，以执行一种新的加权最小二乘(Fourier transform on the interferometric phase gradient to perform a new weighted least squares)