基于Matlab的多光束白光干涉仿真程序

说明：  基于RSSI的定位，已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置。(Based on RSSI positioning, the transmitting signal strength of the transmitting node is known, and the receiving node calculates the propagation loss according to the received signal strength. The propagation loss is converted into distance by using the theoretical or empirical signal propagation model, and then the position of the node is calculated.)

K_average聚类分析程序，包含多个子文件，适用于模式识别和聚类分析-K_average

资源描述gps，惯性导航组合程序包里，并有卡尔曼滤波前后位置、速度误差等的比较，matlab源程序 文件说明： s_GPS_INS_position_sp_demo.m       组合主文件 kalman_GPS_INS_position_sp_NFb.m   卡尔曼滤波程序 ode500.mat                         飞机飞行轨迹与INS输出数据 将三个文件放到同一个文件夹中，运行主文件即可。 希望对此方向的初学者有所帮助。 仿真结果用的数据文件时间为3h，附的数据文件时间为500s。

Presentation for learning the basics and concepts of MATLAB.

PCA 在工业过程中的监控...................(......................)

Matlab code of Zero Forcing Symbol Space Equalizer using MMSE

说明：  本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)

说明：  idunno wat am i doing

说明：  对给定概率或已知概率的信息源进行哈弗曼编码(Probability of a given or known probability of information sources Havermann coding)

Direct torque control based neural netwoek