turbo_1753

本文为 Stephen J.Chapman《MATLAB 编程（第二版） 》英文影印版的中文译本，这本 书对初学者很好的入门教材。之前从网上下载到邢树军兄弟译的 pdf版本(MATLAB-from fresh to expert.MATLAB Programming for Engineers)

matlab中用m文件和Simulink共同实现WIFI的仿真，学习的好资料！(matlab with m documents and a common realization of Simulink simulation WIFI, learning good information!)

在进行车牌识别的预处理过程中,如何有效地提高车牌图像质量是一个关键,这一步处理的好坏将直接影响到后面车牌识别的效果。 本文重点研究直方图修改技术增强图像方法在车牌识别预处理中的应用,给出了直方图修改技术的原理,以及直方图均衡化、规定化和对比度调整的原理,最后用MATLAB来实现车牌图像增强的效果。(License Plate Recognition in the pre-treatment process, how to effectively improve the image quality license plate is a key to dealing with the merits or demerits of this step will directly affect the effectiveness of the back license plate recognition. This article focuses on the image histogram modification method to enhance license plate recognition in the pre-processing of applications, given the principle of histogram modification techniques, as well as histogram equalization, contrast adjustment provisions and the principles of using MATLAB to achieve the final vehicle the effect of brand image enhancement.)

说明：  运动补偿编码 matlab 源码 希望给大家有帮助(Motion compensation coding matlab Source want to give you help)

ＭＡＴＬＡＢＫＡＬＭＤＥＭＯ,seeＫＡＬＭＡＮ run results(MATLABKALMDEMO, seeKALMAN run results)

对正选信号进行仿真，并分别通过时域和频域对其延迟，对比延迟效果(A signal being selected for simulation, respectively, through the effect of the time and frequency domains its delay, Comparative delay)

说明：  针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected by particle swarm optimization before SVM classification. The results of the two classifications are compared and analyzed.)

我们提出一种新方法称为稀疏信号和无噪声扰动的重构子空间追踪算法。该算法具有两个重要特性： 低计算复杂度，相当于正交匹配的追求技术应用于非常稀疏信号和重建精度相同时，作为 LP 优化方法的顺序。

如何用VC6.0和MATLAB进行联合编程文章(How to conduct a joint program VC6.0 and MATLAB article)

matlab教程，内容为ppt格式的，对于matlab入门有详细的介绍(matlab tutorial ppt format content, for a detailed description entry matlab)