sca_pec_cyl_efie_mm

一种基于多文档得图像合并技术，是信号处理的基础，PLS部分最小二乘工具箱。( Based on multi-document image obtained combining technique, Is the basis of the signal processing, PLS PLS toolbox.)

fdtd的2d算法，pml边界条件，二维TE波(fdtd the 2d algorithm, pml boundary conditions, 2D TE wave)

用matlab所编的关于用传输矩阵法计算光子晶体的反射率,文件中将程序写在word文档中,并附带有在matlab下画的图,感觉很有用(using Matlab as in the use of the transfer matrix method photonic crystal reflectivity, Lieutenant General procedures documents written in word document, together with the painting under Matlab plans, feeling useful)

自己编的5种调制信号，通过反复训练模板能有较高的识别率，DC-DC部分采用定功率单环控制。( Own five modulation signal, Through repeated training VxODOGFlate have higher recognition rate, DC-DC power single-part set-loop control.)

说明：  地球处理多边体的重磁异常的正演，主要是地球数据处理的课程的实验项目2(The forward modeling of gravity and magnetic anomalies in the earth s processing of the multilateral body is mainly the experimental project of the earth data processing course 2)

自己写用于雷达直达波对消的m文件，通过抑制直达波提高目标回波信噪比(Write their own radar direct wave for the cancellation of the m documents, by inhibiting the direct wave enhance target echo signal to noise ratio)

用于利用最大熵法求解数据资料服从的分布类型。并应用最小二乘法求解模型以得到最优解(Using the maximum entropy method for solving the data distribution type of obedience. And apply the least squares method to obtain the optimal solution to solve the model)

This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> (This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> )

针对随机结构随机激励下的动力响应概率分布求解，基于广义概率密度方法(the calculation of the generalized probability density function)

说明：  c++语言求解稀疏矩阵方程组的ICCG法源程序。参考：《工程电磁场数值计算分析与综合》 附录（Fortran90）.(c++ solves sparse matrix equations with the ICCG method.Reference: &quot Analysis and Synthesis of Numerical Electromagnetic Field ,&quot Appendix (Fortran90).)