strength

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)

《matlab有限元分析与应用》对应的源代码(" Matlab finite element analysis and application," corresponding to the source code)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

New methods for MRI denoising based on sparseness andself-similarity

说明：  最传统的拓扑优化程序，99行，使用优化准则算法（OC算法）(The most traditional topology optimization program, 99 lines, uses optimization criteria algorithm (OC algorithm))

冈萨雷斯数字图像处理matlab版源码 V1[1].1.3, 有书中的所有源码，都能使用，和大家一起分享(Gonzalez digital image processing matlab source code version V1 [1] .1.3, the book has all the source code, can be used, and the U.S. share)

电子科技大学出版的GSP信号及其matlab仿真书籍(University of Electronic Science and Technology, published matlab simulation of signal and its GSP)

使用matlab仿真chirp信号模型应用于GPS捕获中的虚警概率(Chirp signal using matlab simulation model was used to capture the false alarm probability of GPS)

patch antenna using FDTD method........ skjfhiumghiroghmncjkdngvdgmcduucfu

说明：  利用normrnnd函数生成1000个标准正态分布随机数，绘制频率直方图和经验分布图(Using normrnnd function to generate 1000 standard normal distribution random numbers, and draw frequency histogram and empirical distribution map)