exam1

基于D-J阈值的加性白噪声方差估计,两种算法的比较(D-J，noise,evaluation)

最小二乘算法的实例，适合于初学者下载，附有详细注释(Examples of least-squares algorithm, suitable for beginners download, with detailed notes)

自适应扩展卡尔曼滤波算法Extended Kalman filter(Adaptive Extended Kalman Filter Extended Kalman filter algorithm)

MATLAB下DLA二维程序源代码，可以模拟出二维图形并计算分形维数等(MATLAB under the DLA the 2D program source code, you can simulate two-dimensional graphics and calculation of the fractal dimension)

matlab从入门到精通清晰版 周建兴版本的(Zhou Jianxing version of the clear version matlab from entry to the master)

各种加权函数后互相关功率谱的计算，比较，可用于定位系统的时延估计(After various weighting function cross-correlation power spectrum calculation, comparison, can be used for positioning system (GPS) time delay estimation)

Matlab平台下通过检测和拟合上眼睑来识别眼睛状态(Matlab platform by detecting and fitting on the lid to identify the eye condition)

说明：  这是一个Kaiser-窗滤波器，用于信号处理，在MATLAB平台开发程序代码。(This is a Kaiser-window filters for signal processing, in the MATLAB platform development program code.)

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.)

超松弛迭代法编写matlab程序求解槽空间电位分布问题(Overrelaxation iterative method to write matlab program for solving groove space potential distribution problems)