averege

很多的都想用自已的和序控制自己的电脑,这里有一些常用函数,希望对大家有用(Many want to use their own and the sequence to control their own computer, here are some commonly used functions, in the hope that useful to everybody)

利用Matlab软件对OFDM技术的原理,调制解调过程进行了仿真实现(Matlab software on the principle of the OFDM technology, modulation and demodulation process simulation)

超声波射束形成和分析的工具箱，无损检测的好方法(The ultrasonic beam form and analysis toolbox, non-destructive testing)

电力电子与MATLAB仿真，科学和工程专业的研究生做的电力电子方向有了一个良好的信息，有很多共同的电路品种是有用的，非常实用(Power Electronics and MATLAB simulation, science and engineering graduate students to do a good information on the direction of power electronics, there are a variety of common circuit is useful, very practical)

关于用MATLAB来进行数字图像处理所需的各个函数，方法讲解。(On the use of MATLAB to carry out all necessary image processing functions, methods, explained.)

完整的matlab教程，简明易学，适合初学者入门。(Complete matlab tutorial, easy to learn, suitable for beginners.)

用matlab编写的一串算法基本框架，可以自行在该代码中编写自己的程序，实现一定功能(Algorithm using matlab basic framework of a string, you can write the code on their own in their own procedures to achieve a certain function)

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.)

说明：  ERA算法，通过MATLAB实现，进行模态分析(ERA program,realised by MATLAB for modal analysis)

PCA Algoritms Iris Data test