MT1D

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.)

利用matlab程序生成史密斯圆图，供微波工程人员进行参考。(Matlab program to generate a Smith chart for microwave engineering staff for reference.)

使用MATLAB生成棋盘矩阵,希望对大家有帮助(Use MATLAB to generate chessboard matrix, in the hope that everyone has to help)

SAR的点目标仿真，matlab开发，程序思路清晰，通俗易懂(SAR point target simulation, matlab development, program ideas clear, easy to understand)

This code would calculate the approximate root of any polynomial using Newton Raphson Method

PROBABILITY for ELECTRICAL and COMPUTER ENGINEERS

说明：  小波插值（全小波插值，小波双线性插值，小波双三次插值及其改进）放大图像，提高图像的分辨率；对插值图像做质量评价（峰值信噪比PSNR；均方信噪比SNR）(Wavelet interpolation (full wavelet interpolation, wavelet bilinear interpolation, cubic interpolation and improved method) to enlarge the image and improve image resolution assesse the interpolation image (peak signal to noise ratio PSNR mean square signal to noise ratio SNR))

对一段wav文件读取，并做简单的降噪处理，其中包含了高通滤波器的设计。适合新手(Wav file on a read and do simple noise reduction, which contains a high-pass filter design. For novice)

rbf神经网络模型预测淀粉利用率，径向基神经网络模型预测淀粉利用率(rbf neural network model to predict)

本源码是一个用Matlab7.1实现的Kalman的源代码 ，他实现了基本的Kalman网络算法。(The source is a Matlab7.1 achieved using Kalman s source code, he realized the basic Kalman network algorithm.)