搜索资源列表
nmf
- 这是对于矩阵分解里面,最新出现的一种新的算法:非负矩阵分解的程序-This is the decomposition of the matrix inside, emerging a new algorithm: the procedure of non-negative matrix factorization
geteig
- 利用现将矩阵变为上贺申伯矩阵,在利用QR分解的方法求任意矩阵的特征值-Hesien by now on the matrix into matrix, QR decomposition in the use of any method for solving matrix eigenvalue
MATLAB
- 基于数据建模正交矩阵分解程序,基于Matlab语言实现-Program for OMD of data-based modeling,implemented by using matlab
Jacobi
- jacobi方法用c语言实现的矩阵分解,可以参考一下-jacobi method using matrix decomposition c language for reference
M_5_1_Big
- 一个用于求解无对角线性方程组的matlab程序。是通过LU矩阵分解进行求解的。-a matlab program for getting the roots of big linear equations by LU decompisition.
LU
- 将矩阵分解为一个上三角和一个下三角,同时记录交换的过程。-Will be divided into an upper triangular matrix and a lower triangular and record the exchange process.
matrix_decompose
- 空间谱估计MUSIC解相干算法中的矩阵分解算法。能够很好的提高MUSIC算法对于相干信号的处理性能-MUSIC spatial spectrum estimation algorithm for Coherent Matrix decomposition algorithms. MUSIC algorithm can well improve the processing performance for coherent signals
An-Improved-Mean-Shift-Algorithm
- 奉文主要针对经典的Mean Shift跟踪算法均匀剖分整个颜色空间造成许多空的直方图区间以及不能准确表达目标 颜色分布的缺点,提出J,一种改进算法.该改进算法首先对目标的颜色进行聚类分析,根据聚类结果通过矩阵分解和正交变换 自适席地剖分日标的颜色空间从向确定对戍于每一聚类的子空间.在此基础上定义 一种新的颜色模型,该模型统计落入每 一颜色子空间的像素的加权个数并用高斯分布建模每一个子空间的颜色分布,并推导r一种相似性度量米比较目标和候选目 标的颜色模型之间的相似程度.最后基于该颜
nmfsc
- 稀疏约束的非负矩阵分解Non-negative Matrix Factorization with Sparseness Constraints-Non-negative Matrix Factorization with Sparseness Constraints
snmf
- 稀疏非负矩阵分解,稀疏非负矩阵分解(SNMF)在线形稀疏编码理论的基础上将大量数据分解成正稀疏分量的一种算法-SNMF,Sparse non-negative matrix factorization
matrix_decompose
- 波达方向估计算法仿真中的基于解相干的MUSIC源程序 中的矩阵分解算法-Simulation of DOA estimation of MUSIC-based decoherence source in the matrix decomposition algorithm
music
- MUSIC方法,对相关矩阵分解为噪声子空间和信号子空间,然后搜索得到需要估计的频谱-MUSIC method, the decomposition of the correlation matrix for the noise subspace and signal subspace, then search to get the spectrum to be estimated
CONVEXBSS
- 著名教授关于非负矩阵分解的讲义,包括模型、求解、仿真、实际应用情况。特别是生物医学图像处理和卫星图像处理方面。-CONVEX ANALYSIS BASED NON-NEGATIVE BLIND SOURCE SEPARATION AND ITS APPLICATIONS
xianda-zhang
- 张贤达的盲信号处理讲义 包括盲源分离,斜投影。联合对角化。非负矩阵分解的介绍-blind source separation by Pro. Zhang xian da.
matrix_factorization
- 用matlab进行矩阵的分解,分别进行Lu矩阵分解、不完全LU分解、不完全cholesky分解和Cholesky分解-Decomposition of the matrix with matlab, respectively, Lu matrix factorization, incomplete LU decomposition, incomplete cholesky decomposition and Cholesky decomposition
qchnmf
- 矩阵分解:将实现矩阵的最优化分解,同时保证矩阵的非负性-matrix Factorization
nmf(train)
- 用于入侵检测系统开发的非负矩阵分解算法,用于对KDD99数据进行样本训练。-Intrusion detection system for the development of non-negative matrix factorization algorithm, the data sample used for KDD99 training.
feifuzhuzhengfenjie
- 非负矩阵分解用于处理地震信号 这是一种新的方法应用于地震信号处理-NMF for processing seismic signals
NMF1
- 非负矩阵分解和PCA有相同之处,但是具有更好的物理意义。-NMF and PCA have in common, but with better physical meaning.
householderqr
- householder 矩阵 qr分解程序-householder matrix qr decomposition process