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TD_SCDMA中的联合检测算法 TD_SCDMA中的联合检测算法 (TD_SCDMA in the joint detection algorithm)

这里是一些VC与matlab混合编程的最新技术资料。有些是介绍了在VC ++调用Matlab的常用方法及各自特点，还有一些是介绍VC与matlab混合编程的实例。(Here are some VC mixed with matlab programming information on the latest technologies. Some are introduced in VC++ calling Matlab common methods and their own characteristics, and some is to introduce the VC with the matlab programming examples of mixing.)

《MATLAB神经网络30个案例分析》中的第19个例子，案例19 概率神经网络的分类预测-基于PNN变压器故障诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 19 example, 19 cases of probabilistic neural network classification prediction based on PNN transformer fault diagnosis. Hope to have certain help to everybody! )

matlab课程编程【谷速软件】 3D纹理 可以作为参考使用学习(Courses matlab software programming speed [Valley] 3D textures can be used as references to learn)

说明：  汽车动力学模型，输入为电机和发动机转矩和变速器传动比，输出为车速。(Vehicle dynamics model, input motor and engine torque and transmission ratio, output speed.)

matlab 数值优化遗传算法程序，大家都看看嘛。(matlab genetic algorithm numerical optimization procedures, we all look at them.)

对于Matlab的金融工具箱的更为优化使用。类似与指导书尤其关于使用技巧指导。(Financial Optimization using MATLAB’s Financial Toolbox Sonal Varshney, Arnab Sarkar )

很全的PSO优化SVM，还带例子。希望大家下下去认真研究，支持支持向量机(this is good method of pso optimizing parameters of svm)

A short code used to know the frecuency to sintonize a sistem using a PID control

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)