Phase-Difference-Correcting

function g=nonlineareq(x) Here is an example of nonlinear system that can be solved by using the Matlab command "fsolve" written in the file called "solution.m"

记忆阻器的混沌分叉分析，建立了转台防尘，得到了混的分岔图而分叉等非线性现象(Memory resistor chaotic bifurcation analysis, turntable dust, mixed bifurcation diagram bifurcation of nonlinear phenomena such as)

MT7620 PROGRAMMING GUIDE

估算带宽，先是计算输入信号单边带功率谱密度，然后估算出信号所占的带宽(Bandwidth estimation, first calculating the input signal is single sideband power spectral density, and then estimate the proportion of signal bandwidth)

这是用MATLAB编写的进行调色板图形绘制的程序(This is prepared by using MATLAB to carry out the procedure Rendering palette)

Windows的目录服务编程(活动目录LDAP)(Windows directory service programming (Active Directory LDAP))

非线性振动必备工具箱，里面有详细的步奏讲解,频谱分析，poincare截面，分岔图，李雅普洛夫图(onlinear vibration necessary toolbox, There are detailed explanations of the steps for spectrum analysis, poincare section, bifurcation diagram and lyapunov figure )

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 trajectory.m产生理论的航迹，并绘出 Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计 filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线(target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve)

matlab下雅克比在数值计算中有很好的应用!(Jacobian under matlab numerical calculation in a very good application!)

一篇关于利用lidar数据强度信息进行滤波的文献(Strength of an information on the use of lidar data in the literature filtering)