FEKF-under-Levy-noises

电动执行机构是连接控制器与执行器(阀门)的部件，从控制出来的是离散信号，经零阶保持器后成为一个方波 信号，值都是阶跃跳动，而阀门的实际工作是有一定的行程时间的，即实际上阀门是不可能实现阶跃跳动的，故此需要一个电动执行器，将控制器的阶跃信号变为连续变化信号，假定阀门的行程时间与阀门开度变化成正比。(Electric Actuator is connected controller and actuator (valve) parts, from the control out of the discrete signal by zero-order cage became a square wave signal, values are step-beating, but the actual work of the valve there is a certain amount of travel time, that is, in fact the valve can not be achieved step beat, and therefore need an electric actuator, the controller of the step change in the signal into a continuous signal, assuming that the valve and the valve travel time changes in direct proportion to the door opening.)

用希尔伯特黄变换实现对电力谐波的分解，实现了瞬时幅频的三维图形式(3D plot of instantaneous frequency and magnitude of HHT the original signal is time-varying harmonic signal in power systerm)

动态PCA方法，引入动态时间l，考虑变量本身的时序自相关性，同时还分析变量之间的时序相关性,把PCA方法应用到动态数据矩阵。 (Dynamic PCA method, introducing dynamic time l, consider the timing of the variable itself autocorrelation, also analyzed the correlation between the timing variables, the PCA method is applied to dynamic data matrix.)

提供了《最优阵列处理》这本书的相关源代码，并附有英文版的的homework。(Provide " optimal array processing," source code related to the book, together with the English version of the homework.)

使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data(Yeast data will be classified by means of Fuzzy Cluster Mean (FCM)and Principal component analysis (PCA) based on matlab.)

code to get optical flow using sum of absolute differences matching

MATLAB7.0的英文版教程，由浅到深！易学易读~~~ ~`(MATLAB7 in English and guidance from shallow to deep! Changes accessibility ~~~~~~~`)

alamouti code with 2 receiver and 2 transmiter,with matlab code in advanced comminucation,

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

说明：  计算弹性波带隙结构，主要针对二维的弹性波计算z方向的带系结构(Calculation of elastic wave band-gap structures, mainly for two-dimensional calculation of the elastic wave with the direction z structure)