Matlab_demos.tar

研一，学校开了数值分析这门课，而且要求用matlab进行上机试验，就写数值分析常微分方程的7个MATLAB算法，都是能够套用的M文件。还有我自己的上机作业。很不错的，能参考。要想要其它章的算法，我都已经上传了。(Kenichi, the school opened the numerical analysis of the course, but also carried out on machines with matlab test, on the numerical analysis of ordinary differential equations to write the seven MATLAB algorithms, are able to apply the M-file. Also on my own machine operation. Very good, can draw on. To want the algorithm to other chapters, I have already uploaded.)

用newmark法解二阶微分方程，初学者可以套用自己的微分方程！(Solutions of second order differential equations with newmark law, beginners can apply their own differential equations!)

说明：  智能天线的MATLAB实现 利用MMSE标准的最小均方算法 结果正确 可以直接使用(MATLAB implementation of smart antenna using the standard MMSE minimum mean square algorithm can correctly use the results)

实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。 对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。 深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。 利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。 (SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification.)

Example of application of difference circuits at numerical solution of the equations with partial derivatives

c means functionality

A matlab function to calculate the Planck function

这是一个小波去噪MATLAB源程序,用于处理各种信号中的突变点以及异常点的小波去噪程序，该程序能实现各种序列中的异常点的识别。 (This is a wavelet denoising MATLAB source code for a variety of signal processing and exception point mutations wavelet denoising procedure that can achieve a variety of sequence identification of outliers.)

Watermarking using DCT-SVD it includes watermarking algorithm using DCT and SVD combination.It accurately performs watermarking technique.

最大流问题，一种组合最优化问题，就是要讨论如何充分利用装置的能力，使得运输的流量最大，以取得最好的效果。求最大流的标号算法最早由福特和福克逊于1956年提出，20世纪50年代福特、福克逊建立的“网络流理论”，是网络应用的重要组成成分。(Maximum flow problem, a combinatorial optimization problem, is to discuss how to make full use of the capacity of the device to maximize the flow of transport in order to achieve the best results. The labeling algorithm for maximum flow was first proposed by Ford and Fulkerson in 1956. The network flow theory established by Ford and Fulkerson in 1950s is an important component of network application.)