MATLAB-

Dandn文件给出了输入参数的名称及格式 即在调用prim前先输入邻接矩阵D和节点个数n输入prim得到两行的矩阵T,将上下两行数字对应的节点相连即可(Dandn file name given input parameters and format that is called prim before Input adjacency matrix D and node numbers n input prim are two lines of the matrix T, the number of up and down two lines can be connected to the corresponding node)

说明：  该程序为常规波束成形的程序，在计算机上已经运行过了，可以正常运行。(The program for the conventional beam-forming process, the computer has to run off, and it works.)

该matlab程序主要进行肌电信号的预处理以及获取时域特征(The matlab program mainly for EMG signal preprocessing and access to time-domain characteristics)

自己编写的一个大批量不同类别数据录入程序，并且为防止因为数据量太大导致程序运行缓慢，将其改写成分批小规模数据。方便了大规模数据处理慢带来的各种不变。(I have written a large quantities of different types of data entry procedures, and because the amount of data in order to prevent too much causes the program to run slowly, be rewritten into small batches of data. Facilitate the large-scale data processing slow and the various unchanged.)

To solve this instance of the decision problem we must determine whether there is a truth value (TRUE or FALSE) we can assign to each of the variables (x1 through x4) such that the entire expression is TRUE. In this instance, there is such an assignment (x1 = TRUE,x2 = TRUE, x3=TRUE, x4=TRUE), so the answer to this instance is YES. This is one of many possible assignments, with for instance, any set of assignments including x1 = TRUE being sufficient. If there were no such assignment(s), the answer would be NO.

in this projeh DVB-T signal can simulate by matlab

说明：  Lorenz系统程序整合版 集合很多不同的Lorenz算法的优点 更精确(Lorenz)

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.

用db4小波分解六层：s=a6+d6+d5+d4+d3+d2+d1(db4 wavelet decomposition of six layers: s = a6+ d6+ d5+ d4+ d3+ d2+ d1)

平方根法程序 输入变量为一个n阶正定矩阵A，输出的结果为下三角矩阵L(Square root law procedures)