super-resolution

追逐问题是现实生活中的常见问题,本文就三人绕正三角形的追逐问题建立起了两个数学模型:一个充分应用运动的周期性首先给出了三人共边的充要条件,然后直接给出在一个周期内三人共边的次数及起止时刻,另一个则利用初等数论的方法给出了三人共边的另一个充要条件 利用matlab长于计算和强大的绘图功能,本文分别给出了求解两个模型的matlab程序,通过动画仿真演示三人绕正三角形的追逐模型,并给出三者共边的时间起止点和共边的次数。 更多还原 (The problem is that in real life the pursuit of the common problems, the paper chase on three questions about the triangle established two mathematical models: a full application of the cyclical movement Firstly, the necessary and sufficient conditions of the three sides, and then directly within a given period of three sides of the starting and ending times and moments, and the other using elementary number theory approach gives another three necessary and sufficient conditions of the edge using matlab longer computing and powerful graphics capabilities, this paper two models are given for solving matlab program, triangle chase through animated simulation model demonstrates trio around and gives the time of the beginning and ending points of the three sides and the number of edges. More Restore)

用ICA算法模拟一个声发射信号，并对其进行去噪，计算信噪比(ICA algorithm simulation using an acoustic emission signals, and its de-noising, signal to noise ratio is calculated)

一个新设计的OTSU算法，使用方法如下：％ load clown ％ subplot(221) ％ imshow(X/max(X(:))) ％ title( Original , FontWeight , bold ) ％ for n = 2:4 ％ Iseg = otsu(X,n) ％ subplot(2,2,n), colormap(gray) ％ imshow(Iseg) ％ title([ n = int2str(n)], FontWeight , bold ) ％ end(OTSU design a new algorithm, using the method as follows: load clown subplot (221) imshow (X/max (X (:))) title (Original, FontWeight, bold) for n = 2:4 Iseg = otsu (X, n) subplot (2,2, n), colormap (gray) imshow (Iseg) title ([n = int2str (n)], FontWeight, bold) end)

ppt on meta_material antenna

说明：  使用MATLAB对MIMO系统进行辨识，其中有各种算法仿真算例，N4SID，针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)

关于matlab的编程，主要是plot绘图方面的，请查收！(Matlab programming on the main plot mapping, please check!)

说明：  圆拟合，通过已知的多组数据，拟合出最小误差的圆(Given a set of measured x,y pairs that a re supposed to reside on a circle, but with some added noise. A circle to these points, i.e. find xc,yc,R, such that (x-xc)^2+(y-yc)^2=R^2)

CONVERT THE IMAGE INTO BITPLANES FOR EXTRACTING USREFUL INFORMATION

this is a kmp code running on windows

压缩感知算法中的快速重构算法的仿真，简单有效(The simulation of fast reconstruction algorithm in compressed sensing algorithm is simple and effective)