xinxilun

利用Matlab仿真软件，完成如图1所示的一个基本的数字通信系统。信号源产生0、1等概分布的随机信号，映射到16QAM的星座图上，同时一路信号已经被分成了实部和虚部，后边的处理建立在这两路信号的基础上。实部、虚部信号分别经过平方根升余弦滤波器，再加入高斯白噪声，然后通过匹配滤波器（平方根升余弦滤波器）。最后经过采样，判决，得到0、1信号，同原信号进行比较，给出16QAM数字系统的误码。(Using Matlab simulation software, as shown in Figure 1 to complete a basic digital communications systems. Signal source such as arise over the distribution of 0,1 random signal, is mapped to 16QAM constellation diagram, at the same time all the way the signal has been divided into real and imaginary parts, behind the deal with the establishment of these two signals in the basis. Real part, imaginary part of the signal, respectively, after a square root raised cosine filter, then add white Gaussian noise, and then through the matched filter (square root raised cosine filter). Finally, after sampling, the verdict has been 0,1 signal, to compare with the original signal is given 16QAM digital system error.)

实现基于支持向量机的非线性识别，可以取得较好的效果(SVM-based nonlinear identification, achieved good results can be)

空时正交编码源程序，参考文献： V.Tarokh,H. Jafarkhani,and A. R. Calderbank "Space-Time Codes from ％Orthogonal Designs",IEEE Trans. Inform. Theory VOL. 45,NO. 5,JULY 1(orthogonal space-time coding source, References : V. Tarokh, H. Jafarkhani. and A. R. Calderbank, "Space-Time Codes from Or% thogonal Designs " IEEE Trans. Inform. Theory VOL. 45, NO. 5. JULY 1)

this is adder subtractor simulation model

这是姜启源教授在清华大学讲解数学建模课程的资料，对于数学建模由入门到精通十分有用(lecture in math modeling,given by Professor JiangQiyuan )

模拟二维平面干涉图，I(x,y,t)=a(x,y)+b(x,y)*cos(ph(x,y)+w*t)(Simulation of two-dimensional interference pattern)

The following Matlab project contains the source code and Matlab examples used for inverse kinematics for a 3dof robot arm. authors michael miranda and renato salinas. Uses optimization to find the spatial location of each axis articulator.

CS_MRI:压缩感知（CS）在MRI领域的应用.程序实现展示了CS在MRI的重要作用和明显效果。对于那些CS初学者有着极大的帮助。(CS_MRI:Compressive Sensing s application in MRI field. Codes realize and show the great significance of CS in MRI field.It can be of great help to those fresh in CS field.)

JSON library SimpleJSON

层次分析法可应用对各种决策，判断，评价中的选择问题，优化问题(AHP can be applied to a variety of decision-making, judgment, evaluation of the selection of the optimization problem)