matlab

针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)

关于matlab的多分类问题的几篇文章，对于学习matlab 中的svm 多分类问题有帮助(Multi-classification on matlab several articles for learning in matlab svm multi-classification helpful)

用户选择算法的信道容量仿真。公平性因子设计及仿真。(user selection with sum capacity of channel. fairness factor design.)

这是一个非常重要的而又简单的程序，是书上常用和数学建模的好帮手(great partner)

ZF-SIC、MMSE-SIC检测算法实现，及误码率对比，带检测信道的所有行最小二范数的函数(ZF-SIC, MMSE-SIC detection algorithm, and the error rate compared with all the lines to detect the smallest two-channel function norm)

利用UKF融合算法在融合多传感器数据加上GPS实现多数据融合，最后进行姿态解算(UKF fusion algorithm in use multi-sensor data fusion plus GPS multi-data fusion, and finally the attitude solution)

说明：  综合实验编写的航迹发生器及SINS系统仿真 仔细看明白 绝对可用 simlink 编写 实时性强(The preparation of a comprehensive test of track generator and SINS system simulation closer look to understand the absolute time available to prepare strong simlink)

its a buck converter

PCA和KPCA，对于故障检测与诊断有很好的监控效果，希望对你有用，监控系统的有效处理(PCA and KPCA, for fault detection and diagnosis have a good monitoring results, you want to be useful, monitoring system)

pso基础代码，微电网基础功能实现，简单的微网收益最大(PSO basic code,The basic functions of microgrid are realized. Simple microgrid benefits the most.)