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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).

数学建模中常用的穷举法程序，具有一般性，非常实用(Mathematical modeling method commonly used in the exhaustive process, with the general, very useful)

about nuclear reactor and control of them. it is presented a new method

OFDM channel using LMS

对小波信号进行去噪处理，主要采用分层重构，软硬阀值的方法进行仿真。(To deal with the noise of the wavelet signal, mainly adopts hierarchical reconstruction, hard and soft threshold method are simulated. )

采用了小波去噪的思想，课程设计时编写的matlab程序代码，基于分段非线性权重值的Pso算法，搭建OFDM通信系统的框架，进行逐步线性回归，进行波形数据分析,最大似然（ML）准则和最大后验概率（MAP）准则，采用偏最小二乘法。( Using wavelet denoising thought, Course designed to prepare the matlab program code, Based on piecewise nonlinear weight value Pso algorithm, Build a framework OFDM communication system, Stepwise linear regression, Waveform data analysis, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Partial least squares method.)

通过MATLAB对一幅多个人物的图像进行，人脸轮廓的提取，识别。效果不错，譬如毕业照这样的照片能有很好的结果。(By MATLAB to more than one person in the image , extract facial contour recognition . Good results, such as this photo graduation photo can have a good result .)

lfm 脉冲压缩雷达目标探测MATLAB仿真(lfm radar MATLAB)

数值分析中的插值计算，包括梯形公式，Simpson公式，复化梯形公式，复化Simpson公式，(Numerical Analysis of interpolation calculation, including the trapezoid formula, Simpson formula, rehabilitation of trapezoid formula, rehabilitation of Simpson formula)

卡尔曼的程序，里面有个基础的卡尔曼程序还有一个图像跟踪的卡尔曼程序。(Kalman s procedure, which has a basic program and a picture of Kalman Kalman tracking procedures.)