matlabAWGNshibiesuanfa

张正有的相机标定方法，有图片和程序，希望对相机标定的朋友有帮助(Zhang is some camera calibration method, there are pictures and procedures in the hope of the camera calibration of friends to help)

this article is used to explain the color segmentation of cells

说明：  LTE系统中Turbo译码MATLAB程序(turbo decoder in lte system)

Its good to read dbf ubrfiu feerb fewbf ewbrevf reberfb frebef urgbrhihgegkj

this package allows to solve to incompressible Navier-Stokes equations with a fast method

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.)

永磁同步电动机反推速度控制，很不错，控制效果很好(Backstepping speed permanent magnet synchronous motor control, very good)

在Matlab环境下实现的功率谱估计程序，经典法，带绘图功能(In the Matlab environment realize the power spectrum estimation procedure, the classical method, with graphics)

说明：  四阶Runge-kuta求解算法matlab代码 含一篇文献介绍(Fourth-order algorithm lunge-kuta)

CIC滤波器的插值运算，并可以实现数字下变频的整个算法的研究，与仿真(design and simulink )