NeuralRBF

关于迭代学习算法，分析了收敛速度,开闭环二阶迭代学习控制算法(The Analysis of Convergence Speed for an Openand Closed Loop Second Order Iterative Learning Control Algorithm)

匈牙利算法 求解最大匹配问题 s为最佳匹配的总权值 e(:,[1,2])为匹配的两点，e(:,3)为各匹配的权(Hungarian algorithm to solve the maximum matching problem s is the best match of the total weight e (:, [1,2]) to match the two points, e (:, 3) for the right match)

基于模态振型的固定结合面动态特性参数测试 (Based on a fixed mode shapes combined with dynamic characteristic parameters of the test surface)

it s a matlab function to calculate the displacement modal shape,frequency of the structure,some input files are also included in the package,it s a good function for studying dynamic system

用于产生杂波的simulink模块，已经过验证，好用(For generating a clutter Simulink module, has already been verified, good use)

粒子群算法优化支持向量机参数，可用于分类(pso svm)

基于小波变换的图像增强算法,我从专业数据库上下载的，应该有用(Based on wavelet transform image enhancement algorithm, I download on from the major databases, it should be useful)

基于MATLAB下的语音识别系统，介绍了具体的实现过程，并采用离散马尔科夫模型(Based on MATLAB of speech recognition system, introduced the realization process and discrete markov model)

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,)

MATLAB历程的雷达信号处理方针及其应用，好用，建议下载(MATLAB course of the principle of radar signal processing and its applications, easy to use, it is recommended to download)