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模糊聚类matlab仿真程序。实现模糊聚类的仿真。(Fuzzy clustering matlab simulation program. Simulation of fuzzy clustering.)

非线性时间序列分析，相空间重构的参数选择,包括时间序列延迟计算和嵌入维数计算 (Nonlinear time series analysis, parameter selection phase space reconstruction, including time-series delay calculation and embedding dimension calculation)

IEEE paper on ofdm genration

k均值的分析与，图解，自己亲自测试，能用并且很好(k-mean analysis, diagrams, personally testing, use and well)

relay oscillation method of pid tuning using matlab

微分先行PID算法Matlab仿真程序。适用于控制工程领域。(Differential forward PID algorithm Matlab simulation program. Applicable to the field of control engineering.)

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,)

In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space.

说明：  仿真实现噪声调幅干扰信号,信号形式为一般形式，其中包含(simulation of noise moding jamming signal)

说明：  一些关于瓦斯爆炸的论文，高温下Q345钢的材料性能试验研究，煤矿井下瓦斯爆炸的基本特性，瓦斯爆炸动力学特征参数的测定及其分析，瓦斯爆炸运动火焰生成压力波的数值模拟(Some papers on the gas explosion, Q345 steel under high temperature performance test of the material, coal mine gas explosion the basic characteristics of the gas explosion kinetics parameters determination and analysis of gas explosion generated pressure waves of flame motion simulation)