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Matlab教程PPT，Matlab概述与应用程序基础(Matlab PPT)

本程序是用来解决0-1规划问题的，匈牙利算法的MATLAB程序（用以解决分配（指派）问题） 本程序的用法是：输入效率矩阵 marix 为方阵，调用自编指令[z,ans]=fenpei(marix) 输出z为最优解，ans为最优分配矩阵。(This procedure usage is: input efficiency marix phalanx, calls for matrix maozhi instructions, [z] = fenpei (ans marix) output z for optimal solution, ans for optimal distribution matrix.)

使用wolf方法求最大lyapunov指数，核心算法为c语言，接口为matlab(method for the use of wolf largest lyapunov index, the core algorithm c language, Interface to Matlab)

<精通MATLAB>根据这本书写的相应的运筹学里的源代码，都是最基本的算法，没有进行改进(<Proficient in MATLAB> According to this writing tacticians in the corresponding source code, are the most basic algorithm, no improvements)

it is moment method for microstrip line that is good for all

TDOA无源时差定位Chan算法，matlab源码(Chan Passive TDOA TDOA location algorithm, matlab source code)

基于matlab的多个时钟小程序，能实现时钟同步测法等功能(Matlab multiple clock applet, clock synchronization function measurement method)

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.)

DoA estimation with Uniform Circular Array

统计中的逐步回归的matlab源码请各位参考指正(Statistics of the stepwise regression matlab source code please refer to correction)