GSASVM

很不错的流形学习算法 包含了MDS PCA ISOMAP LLE等算法(Very good manifold learning algorithm includes the MDS PCA ISOMAP LLE, such as eight kinds of algorithms)

对阵矩阵的三对角化：用householder方法将n阶实对称矩阵约化成三对角形式(With the householder method to n-order real symmetric matrix into tridiagonal form )

基于multisim的调频接收机 包含混频中放低放鉴频(FM receiver based on multisim mixing in the lower release contains discriminator)

纯ofdm仿真代码，QAM调制，有注释，可运行(Pure ofdm simulation code, QAM modulation, with annotations, can run)

本文基于matlab开发环境，利用鱼群算法对30节点的电网进行无功优化(Reactive Power Optimization Based on fish swarm algorithm in 30 node grid)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

Description: The function is called upon as follows: a = bemd(im1) im1 -> Image a(:,:,1) => IMF 1 a(:,:,2) => IMF 2 a(:,:,3) => IMF 3 a(:,:,4) => Residu

计算高斯Hermite多项式的Matlab程序，并绘制2维和3为高斯Hermite多项式图。(Gaussian Hermite polynomial calculation Matlab program, and draw two-dimensional and three Gaussian Hermite polynomial map.)

Matlab PCA+SVM人脸识别,通过PCA和SVM算法达到人脸识别的功能。(Matlab PCA+SVM，To identify people s face.)

利用MATLAB建立了IEEE_802_15_3a的UWB标准的多径信道的系统仿真，给出了相应的分析(failed to translate)