matlab-4

LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often located far from the sensor network, through which the end-user can access the data. MODIFIED LEACH IS ENHANCED VERSION OF LEACH PROTOCOL TO SAVE ENERGY.

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

说明：  关于预测控制的MATLAB-s-function模块编写。 网络化控制系统是一种通过网络实现传感器，控制器和执行器之间数据交换的分布式实时反馈控制系统。其应用领域广泛，包括过程工业，航天工程，运输管理，机器控制，远程手术，智能家居等。具有长距离数据交换与共享，成本低, 便于安装和维护，高灵活性和可靠性，易于重配置及高移动性等优势。同时，由网络化控制系统引起的网络诱导时延和其共享、开放、可进入等特点对系统稳定性和安全性造成的影响也不可忽略。故本文设计了一种网络化预测输出跟踪控制系统以解决网络时延问题，并站在安全的角度研究虚假数据注入攻击问题(MATLAB-s-function.Networked control system is a distributed real-time feedback control system that realizes data exchange among sensors, controllers and actuators through network. Its applications range is wide, including process industries, aerospace engineering, transportation management, machine control, remote surgery and smart homes.)

用Matlab编程，实现解决该问题的单样本训练BP网络，设置一个停止迭代的误差Emin和最大迭代次数。在调试过程中，通过不断调整隐层节点数，学习率η，找到收敛速度快且误差小的一组参数。产生均匀分布在区间[-4，4]的测试样本，输入建立的模型得到输出，与Hermit多项式的期望输出进行比较计算总误差（运行5次，取平均值）(Using Matlab programming, to solve the problem of single sample training BP network, set a stop error iterations Emin and the maximum number of iterations. In the debugging process, by continuously adjusting the hidden layer nodes, learning rate η, fast convergence and find a set of parameters small errors. Produce a uniform distribution in the interval [4,4] of the test sample, the model has been established input output with the expected output Hermit polynomial calculated by comparing the total error (run 5 times the average))

matlab text matrice generator tool for math representation of textual data

用来处理气象上NCEP资料grib2的matlab处理程序(Matlab Processing Program for Processing NCEP Data grib2 in Meteorology)

QAM simulation in MATLAB

对GpS信号的产生，捕获或跟踪都进行matlab仿真，源代码，希望帮助大家(On GpS signal generation, capture or track all to matlab simulation, source code, want to help you)

对脑电时域信号提取30Hz以内各个节律波能量比重(Extracting energy proportion of each rhythm within 30Hz for EEG time-domain signal)

实现虚拟地球的拼接，是很好的拼接算法的经典应用，希望能对大家有帮助！！！(shixianxunidiqiudepinijie,shihenhaodepingjiesuanfadejindianyingyong,xiwangnengduidajiayousuobangzhu!)