LMSandKalman

Telecommunication Lecture - .

在平滑信号中加入高斯分布的白噪声，然后用db4小波函数进行多尺度分解，滤除白噪声，将滤波前后的图进行对比(Add the Gaussian distribution of the white noise in the smoothed signal, and then multi-scale decomposition db4 wavelet function, the filtered white noise, comparing before and after filtering)

A-D检验 本文是关于A-D检验的MATLAB程序，适用于序言A-D检测的同学，希望参考指正(AD test article is on the AD test MATLAB program, students apply to the preamble to AD detection, correct me want to refer to)

对数字调制信号计算循环谱相关，并画出三维图以及二位截面图(Digital modulation signal to the cycle spectral correlation calculation, and draw three-dimensional map, as well as two sections)

源代码是一个非常考脑筋的事情 你不要再为难我了 谢谢 这个网站很好(yuandaima)

说明：  Ode 方程解法，主要用于网站收敛,这一算福安非常的好(numerical integration for ODE for the web site convergence)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

INVERTER MODEL IN SIMULINK

说明：  ISOMAP代码，附数据，用于材料的缺陷检测(ISOMAP code with data for defect detection of materials)

Newton插值，matlab经典例程,数学建模必备(Newton interpolation, matlab classic routines, mathematical modeling necessary)