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In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory, and more specifically, on the properties of conditional Gaussian random variables. The criterion he proposed to minimize is the state vector covariance norm, yielding to the classical recursion : the new state estimate is deduced from the previous estimation by addition of a correction term proportional to the prediction error (or the innovation of the measured signal).

本教程主要论述了如何设计IIR滤波器的详细细节(This tutorial focuses on how to design IIR filter for further details,)

手机设计指南，一些手机设计的案例文件，非常实用(mobile)

说明：  这是美国麻省理工学院的MATLAB讲义。(This is the Massachusetts Institute of MATLAB handout.)

根据人口趋势模拟未来航天系统需求增长趋势(Simulated future aerospace systems based on population trends in demand growth)

dfa 时间序列的赫斯特指数的计算线性趋势的拟合

一个串级PIDSIMULINK模型,可直接运行(one simulink model about pid)

配电网潮流计算根据她的特点提出这个方法配电网前推回代法潮流计算(qiantuihuidai math)

图像小波去噪程序，帮助处理模糊的图像文件，出去噪声，提高分辨率。(Wavelet denoising procedure to help deal with the blurred image files, out of the noise and improve resolution.)

K Nearest Neiborhood algorithm