资源列表
queue
- 用matalb来模拟排队论中的模型，M/M/n+M-simuation on ErlangA model
matlab-of--phyisical-optics
- 物理光学上的干涉实验，用matlab编程来实现，比较实用！-Intervention on physical optics experiments with matlab programming to achieve more practical!
SVMRFE
- 用于特征排序 特征提取前的预处理 对于m*n列的数据进行特征排序 模式识别中的特征提取或者模式分类中的预处理 -Sort feature for feature extraction pre-treatment before the column for the m* n order to characterize the data in the application of pattern recognition
lle_and_pca
- 实现lle和pca的matlab编程，主要目的是比较lle和pca这两个高维数据降维方法的性能，各有所长。-Use matlab to realise lle and pca ，the purpose is to compare lle and pca，which reduce high dimension data to low data dimension，and each has advantage！
galileo_e1
- 伽利略卫星导航系统E1信号捕获跟踪仿真程序-Galileo E1 signal acquisition and tracking system simulation program
D_and_tao_and_omiga
- 计算高斯伪谱法中的高斯点和微分矩阵，比较慢，求改进-GPM differentiation matrix and Gauss point
MUSIC-LIKE
- 基于均匀线阵，利用四阶累积量产生虚拟阵元，可估计出比真实阵元数更多的信号源，已达到DOA估计的目的，且具有较好的分辨率。-Based on uniform linear array, using fourth-order cumulants to generate the virtual array element can be estimated more than the true number of array element signal source, the purpose has
MUSIC-LIKE(without-redundancy)
- 对基于四阶累积量的MUSCI算法进行去冗余，把多余的冗余数据剔除，在保持良好分辨率的基础上也降低了运算复杂度。-Fourth-order cumulant-based algorithm to the MUSCI redundant, removed the extra redundant data, while maintaining good resolution also reduced on the basis of computational complexity.
collection[1]
- 关于一维热传导方程的差分解法，包含了前差，后差，显示和隐式-About one-dimensional heat conduction differential equation solution, containing the first difference, after the poor display and implicit
GSOaHGSO(matlab)
- GSO算法及其改进，其中HGSO是通过与和声搜索算法结合而成，主要用于结构的截面优化、几何优化、动力优化、拓扑优化等，具有收敛速度快，收敛结果好的优点，且其改进算法能摆脱局部最优的缺陷。-GSO algorithm and its improvements, HGSO is through a combination of harmony search algorithm, mainly used to optimize the structure of the cross section, g
xuniMUSIC
- 基于虚拟阵列的 MUSIC算法 MATLAB-MUSIC algorithm based on MATLAB Virtual Array
basic-ica
- ICA算法的Matlab实现-fast fixed-point algorithms ICA Matlab -ICA algorithm by Matlab-fast fixed-point algorithms ICA Matlab