exp2_rk

基于四元数法的捷联惯导系统仿真，陀螺仪和加速度计数据为自己仿的一分钟数据(Simulation SINS)

QAM编码调制 通信系统中常用的调制方式(QAM )

说明：  To improve the boiler drum level control system of a power plant, the three challenging issues encountered include (1) effect of ‘‘false water level’’, (2) controller parameter mismatches due to variant working conditions and (3) signal noise caused by uncertainties of drum level. In this paper, based on analyses of the drum level signal, an adaptive derivative action is presented to monitor steam flow, and thus, the effect of ‘‘false water level’’ is weakened. The uncertainties of parameter mismatches and noise are predicted by developing a Grey predictor based algorithm (GPBA). In order to resolve the three problems and further control performance, an adaptive technique is combined with the GPBA to develop an adaptive Grey predictor based method. Finally, concrete simulations give that the proposed method has obvious superiority over conventional methods.

BERvsSNRgen ITH pn SEQUENCE

This GUI will show normal,Rayleigh and rice distribution with the law of large number. It has an easy to understand interface and few parameters.

读入ORL人脸库的指定数目的人脸前前五张(训练) 输入：nFacesPerPerson --- 每个人需要读入的样本数，默认值为 5 nPerson --- 需要读入的人数，默认为全部 40 个人 bTest --- bool型的参数。默认为0，表示读入训练样本（前5张）；如果为1，表示读入测试样本（后5张）(Read into the ORL face database face before the specified number of five sheets (Training) Input: nFacesPerPerson--- everyone needs to read the sample size, the default value is 5 nPerson--- the number of people need to read , the default for all 40 individual bTest--- bool type parameters. The default is 0, read the training samples (top 5) If 1, read that the test samples (after 5))

一个解释主成分分析PCA算法的文档,并附有简单的MATLAB程序说明(a document explain principle component analyse)

Matlab入门指导书，英文版，高级读者也可以参考。mathwork公司权威认可(Matlab Getting Started instructions, in English, advanced readers can refer to. mathwork company recognized authority)

emguC#编程实例，实现简单的透视形变(develop with emgu and C#)

说明：  matlab语言的人工蜂群算法，包括最初版本和改进版两版(Matlab language artificial bee colony algorithm, including the initial version and the improved version)