资源列表
[matlab例程] hyperspectral-data-processing
说明:高光谱数据处理基本算法,异常点检测,端元提取,丰度图K均值聚类,PCA算法-anomalydetection endmemberExtraction Kmeansclustering by abundancemap PCA NAPCA<lilelindr> 在 2025-06-27 上传 | 大小:8kb | 下载:0
[matlab例程] Lab_Assignment4
说明:matlab 实验wewqdeqwdwqd-matlab test ssx csacs<陶德进> 在 2025-06-27 上传 | 大小:17kb | 下载:0
[matlab例程] speech-signal-encoding
说明:用MATLAB编程实现的G.721编码器,掌握语音信号编码-Implemented using MATLAB programming G.721 encoder and master audio signal coding<laughy> 在 2025-06-27 上传 | 大小:372kb | 下载:0
[matlab例程] SEM_matlab
说明:It can be applyed forthe Spectral Element Method conbined finite element and spectral method to solve the 2D wave equation.as a pecial case is SH. dynamic fault with slip weakening is considered either.<kaustwa> 在 2025-06-27 上传 | 大小:12kb | 下载:0
[matlab例程] sem2d_friction_plastic
说明:Spectral Element Method to solve the 2D SH wave equation,strain weakening (plasticity) in the bulk,paraxial absorbing boundary conditions and zero initial conditions in a structured undeformed grid.<kaustwa> 在 2025-06-27 上传 | 大小:4kb | 下载:0
[matlab例程] semfriction
说明: PURPOSE finds the mesh node that is closer to a requested location;INPUT xin,yin requested receiver locations, can be vectors global node indices of relocated receivers<kaustwa> 在 2025-06-27 上传 | 大小:1kb | 下载:0
[数学计算/工程计算] two-stepQRmethod
说明:对于一个10乘10矩阵,先拟上三角化,再用带双步位移的QR方法求矩阵的特征值(包括复数特征值),再用列主元高斯消去法求矩阵的特征向量。-For a 10 by 10 matrix, first proposed on the triangulation, and then with a two-step displacement of the QR method, to calculate the eigenvalues of the matrix (includin<朱付涛> 在 2025-06-27 上传 | 大小:471kb | 下载:0
[matlab例程] klt-compression
说明:compression using karhunen loeve transform<vishnupriya> 在 2025-06-27 上传 | 大小:456kb | 下载:0
[数学计算/工程计算] powermethod-andinversepowermethod
说明:对于大型稀疏矩阵(501乘501),用幂法求其按模最大特征值和最大特征值,用反幂法求其按模最小特征值和距离给定数字最近的特征值,求得了矩阵的条件数和行列式,讨论迭代初始向量的选取对计算结果的影响。-For large sparse matrix (501 x 501), with the power method for the maximum modulus of its eigenvalues and by the largest eigenvalue, with<朱付涛> 在 2025-06-27 上传 | 大小:114kb | 下载:0