mykalman

验证时域采样定理,奈奎斯特定律,奈奎斯特频率(The time domain sampling theorem)

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)

vissim 停车控制代码，更够控制VISSIM仿真软件的车辆停车行为(vissim vehicle parking control code)

说明：  hough变换原理和公式 检测边缘 和MATLAB程序代码(hough transform theory and MATLAB code)

need for source code using matlab

matlab中数据分析资料，PPT详细说明相关原理，并有实例代码，包括回归分析等(matlab data analysis data, PPT detail the relevant principles, and examples of code, including regression analysis)

自写的PRBS 伪随机数生成程序， 可用，(参见Matlab help中"seqgen.pn" 及 "PN Sequence Generator" 及"Pseudorandom Sequences" 相关内容)

利用hough变换检测图像中的直线，得到检测直线的参数与首位端点，并在原图中标出所检测到得直线。(Detection using hough transform image of the straight line parameters to be detected with the first endpoint, and the Original bid to get straight out of the test.)

《MATLAB时尚百例实例》实例1-13()

基于传输矩阵法（TMM）计算VCSOA（垂直腔半导体光放大器）的稳态增益的程序。由于是从将输入端功率Pin作为已知条件，程序用Matlab优化工具箱中的fsolve函数计算了满足边界条件时的输出功率。这对于相关研究开发都是较好的资料。(This is a set of source codes, which are used for calculating the steady state gain of VCSOA based on the transfer matrix method(TMM). Since the input power of the VCSOA is regarded as a already-known condition, this program, the function "fsolve" in the Matlab Optimization Toolbox is used for obtaining the output power of the VCSOA when the input power is at some value. This is a good material for further studying the related problems, especially when using the Matlab for device simulations. )