jQuery响应式

是关于系统辨识的一篇论文和本人对文中所提论文方法的Matlab程序验证-System identification on a paper and my thesis on the methods mentioned in the text of the Matlab program to verify

在复杂网络的伪信息传播过程中，类比于病毒传染的传播模型(Dummy information dissemination process in complex networks, analogous to the spread of the virus infection model)

免费打电话软件 好好啊 好 免费打电话软件 好好啊 好-Free call software make free phone software ah good good good ah

双势井duffing方程分叉演示程序。演示Duffing方程在不同系数选择下单周期，准周期，混沌的产生。(Double potential wells duffing demo program bifurcation equation. Demo Duffing equation coefficients in different choices under the single-cycle, quasi-periodic, chaos generation.)

VS2005 MFC 实现的画图程序，有线，圆、多边形填充和铁路画法-VS2005 MFC drawing programs, cable, circle, polygon filling and rail painting

VC++ USB编程资料合集，U盘等相关编程资料，usb_demo为ARM7开发板下的全部源代码，其他为相关资料。附usb项目技术报告、USB编程实例等源码和文档资料。

插值与拟合的matlab实现，一些自适应信号处理的算法，处理信号的时频分析。( Interpolation and fitting matlab implementation, Some adaptive signal processing algorithms, When processing a signal frequency analysis.)

太阳位置计算，计算给定时间、地点的太阳位置-sun location calculation to a certain time and place of location of the sun

说明：  UCGUI汉字自定义工具，大小，数量自定义。(UcGUI Chinese character customization tool, size, quantity customization.)

程序主要包括：1．MyInit.m 数据初始化 输出参数： XTrueZ 目标真实轨迹 Z0 目标观测值 T 采样周期 Q 系统误差阵 DeltaR 距离误差 DeltaSita 方位角误差 DeltaBeta 俯仰角误差 totaltime 运动时间 montimes 蒙特卡罗仿真次数 2． EKF.m [Z1]= EKF Z1: 输出EKF滤波后结果 3. CMKF.m [Z2]= CMKF Z2: 输出CMKF滤波后结果 4. GetR.m CMKF算法中误差阵R的计算 5． CompareEandC.m EKF和CMKF、最小二乘滤波后结果比较 部分绘图代码不全，具体结果请参见 信号实验作业.doc 文档 6．source.m 产生带野值的数据 7. RemoveWilddata.m 野值剔除算法 (Procedures will include: 1. MyInit.m initialization data output parameters: XTrueZ target the real target trajectory Z0 sampling period T observed value Q system error array DeltaR distance error DeltaSita azimuth error DeltaBeta pitch angle error totaltime exercise time montimes the number of Monte-Carlo simulation 2. EKF.m [Z1] = EKF Z1: Output EKF filtered results 3. CMKF.m [Z2] = CMKF Z2: Output CMKF filtered results 4. GetR.m CMKF algorithm for the calculation of error R array 5. CompareEandC.m EKF and CMKF, least-squares filtering Comparison of part of the drawing code after the failure, specifically the results of experimental work, see the signal. Doc document 6. source.m generate the data with outliers 7. RemoveWilddata.m outliers removed Algorithm)