lms

变换编码的实现，对初学者还是值得参考的 比较有用的

PCA主元分析是用于过程监测中的很好的方法(PCA principal component analysis is used to process monitoring in the good way)

对美国轴承库的采集数据进行分析，通过功率谱等变换判断出是否发生故障，发生什么故障(American Bearing collected data database is analyzed by the power spectrum converting determines whether a fault occurs, a fault occurs it)

说明：  基于EM算法，可以估计在混合高斯分布下的三个参数(EM expection)

模糊C均值（FCM）算法工具箱，可以直接使用，基于MATLAB编写，呵呵(Fuzzy C Means (FCM) algorithm toolbox, can be used directly, based on MATLAB write, huh, huh)

ldpc再发现者的著作,值得一看，有独到之处。(Probabilistic Reasoning in Intelligent Systems- Networks of Plausible Inference)

DOCSIS DRFI Specification

基本的惯性导航解算过程以及摇摆条件下的惯性导航程序(Inertial navigation program under the basic inertial navigation solution process and the swing conditions)

差分方程求解 实验步骤： 主界面下进入实验五的“差分方程求解”子系统,输入希望看到的输出样点数 输入差分方程系数向量 输入顺序为：，。其中 N+1 为差分方程两边系数最大数目，如果有一边输入系数个数小于 N+1，将按不足系数为零计算。 输入系统初始状态向量 输入顺序为 鼠标单击确定按钮，以数值和图形两种方式显示单位冲激响应和输出响应 3） 确定差分方程形式：y(k)-y(k-1)+0.35y(k-2)=2x(k)-x(k-1)，(Experimental steps for solving differential equations: the main interface into five experimental " differential equation" subsystems, would like to see the output of input sample points difference equation coefficient of input vector input sequence as follows:,. One of N+1 differential equations for the maximum number of factors on both sides, if there is one less than the number of input coefficient of N+1, the calculation will be less than zero coefficient. Initial state vector input system for the importation of the order of the mouse button to click OK to both numerical and graphical display unit impulse response and output in response to 3) to determine the form of differential equation: y (k)-y (k-1)+0.35 y (k-2) = 2x (k)-x (k-1),)

利用kalman滤波器对具有随机加速度的物体运动路线的进行信号采样，滤波处理和估计。(use kalman filter to sample signals of object moving route with random acceleration,filter and estimate)