ssbcode

本代码用simulink实现IIR滤波的仿真(The code used to achieve IIR filter simulink simulation)

该语言由matlab实现，通过catia建模，并在其中进行网格划分，然后由程序读入，用物理光学法计算其雷达散射截面，该算法经多次使用验证。(The language by matlab to achieve, by catia modeling, meshing, and then read by the program, physical optics method to calculate the radar cross section, the algorithm repeatedly verified.)

MATLAB编写的汉字繁体简体转换程序，使用GUI(MATLAB Traditional Chinese Simplified preparation of the conversion process, the use of GUI)

函数Jf用来求所付代价的增加值，只要在matlab中输入Jf=Jf(a)得到的结果就是J了，其中a的值为对应的 值； 函数Rf用来求所收益增加值，只要在matlab中输入Rf=Rf(a)得到的结果就是R了，其中a的值为对应的 值； 如果要修改表格的值的话，就对应的修改函数Jf和Rf中的数组y的值就好了，M的值和N的值以及r的值都可以修改的。 (Used to demand the consideration paid for the increase in value of the function Jf, in matlab enter Jf = Jf (a) the results obtained is J, the value corresponding to the value of a function Rf used to ask or gains added value, as long as Rf = Rf (a) input in matlab result is R, where a value of corresponding value If you want to modify the value of the form, it corresponds to modify the function Jf and Rf array y values ​ ​ like , the values ​ ​ of M and N values, and the value of r can be modified.)

Computational Electrodynamics - the FDTD method (2nd Edition) 3 Dimensional FDTD codes implemented by Matlab and include Dey-Mittra Mesh Generator. The Dey-Mittra Mesh Generator allows you to input a 2-d geometry to solve scattering problems. The geometry is input as straight line segments or circular arcs.

通过matlab代码画出的各种概率密度函数图形仅供参考(By matlab code to draw the beta probability density function graph for reference only)

B样条的方阵生成图形，利用MATLAB生成B样条的源码(B spline matrix generated graphics, the use of MATLAB source code generated B-spline)

Extraire des maximas et minimas des signaux avec l axe temporel

The archive contains the solution to the lab09 problem form "Digital Processing First" of McClellan. It treats the digital signal recognition problem via spectrum comparison. All m-files necessary to solve the problem are provided and enriched by comprehensive comments in the code. Cheers

半监督LDS算法,是由Olivier Chapelle提出来的，他将半监督的流行假设和聚类假设结合起来。 (LDS for Semi-supervised learning，which is proposed by Olivier Chapelle,it combinations the monifold assumption and cluster assumption.)