TWTA

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.)

taylor分布的天线综合代码，基于原始的指数方程编写，并且附加了相位项，可以用来优化综合。(taylor antenna integrated code distribution, exponential equations based on the original writing, and an additional phase term can be used to optimize the synthesis.)

本文件包含两个程序，实现一维和二维分形地面的模拟(This document contains two procedures to achieve a one-dimensional and two-dimensional simulation of the ground, Fractal)

functions of a circular array

数据模型归一化，模态振动，分析了该信号的时域、频域、倒谱，循环谱等,高斯白噪声的生成程序。( Normalized data model, modal vibration, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Gaussian white noise generator.)

1.用最大似然比的方法检测信号、判别概率等。2.Bayes检测方法检测信号。3.判别风险系数(test signal discrimination probabilityusing A maximum likelihood ratio . 2.Bayes detection methods . 3 discriminant risk factor)

相控阵列天线方向图的matlab实现，来自学报(Phased array antenna pattern matlab realize, from University)

这是一个基于matlab图像复原处理包，其中包括图像的模糊、维纳滤波、盲反卷积、点扩散函数和光学转换函数互相转化(This is a matlab-based image restoration processing package, including the images fuzzy, Wiener filtering, blind deconvolution, point spread function and optical transfer function to transform)

matlab实现EMD分解。完整的EMD分解程序，并附有一个简单的例子。(matlab realize EMD decomposition. Complete EMD decomposition process, together with a simple example.)

说明：  粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 5(particle filter)