搜索资源列表
NMFLABSP_ver1.2.zip
- 盲源分离算法中，另一新的理论，非负矩阵分解（NMF）。数据包中有代码及GUI,Blind source separation algorithm, another new theory, non-negative matrix factorization (NMF). Packet has the code and GUI
code
- 基于非负矩阵分解的语音分离方法，matlab实现-NMF-based speech separation method, matlab implementation
a
- 基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space o
PIE1
- 基于双权重非负矩阵分解的人脸识别Matlab code-double weight NMF for face recognition
nmf.tar
- 非负矩阵分解程序，里面包含了全面的相关资料和程序代码。-Non-negative matrix factorization program
DISCRIMINANTSPARSENONNEGATIVEMATRIXFACTORIZATION.r
- 判别稀疏非负矩阵分解，提出这个新算法，来进行人脸识别，比传统的NMF和一些其他的扩展算法效果好-Sparse non-negative matrix factorization judge proposed the new algorithm for face recognition, than the traditional extension of NMF algorithm and some other good results
ceshi4
- 非负矩阵应用于电能质量中的程序，用于谐波检测，构造和分解基本谐波-Non-negative matrix used in the power quality program for harmonic detection, the basic harmonic structure and decomposition
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
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
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
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
NMF
- 一个基本的非负矩阵分解计算程序, 可在Matlab环境下运行.-Algorithms for Non-negative Matrix Factorization
nmf(m)
- NMF即为非负矩阵分解，是在矩阵中所有元素均为非负数约束条件之下的矩阵分解方法。NMF分解算法相较于传统的一些算法而言，具有实现上的简便性、分解形式和分解结果上的可解释性，以及占用存储空间少等诸多优点。-Some of these methods have their roots in neural computation, but have since been shown to be widely applicable for signal analysis.
非负矩阵分解
- 盲信号分离中的非负矩阵分解，高光谱图像解混等等。
nmf-1.01
- 一个简易的可运行的非负矩阵分解matlab程序，进一步修改可以用于大规模矩阵非负分解计算，特征提取等-A simple non-negative matrix decomposition matlab program that can be run, further modifications can be used for large scale non-negative matrix decomposition calculations, feature extraction
NMF
- 用于非负矩阵分解的程序，包含C程序、MATLAB程序(NMF algorithm % Check that we have non-negative data)
NMF
- 实现非负矩阵分解的程序，适合提取非负信号的特征值(A program for non negative matrix factorization, Suitable for extracting the eigenvalues of non negative signals)
Cochleagram ISNMF2D
- 数据矩阵运用非负矩阵分解算法，分解得到两个低维矩阵，并用于信号分离。(The data matrix is decomposed into two low-dimensional matrices by non-negative matrix decomposition algorithm and used for signal separation.)
uv分解
- 非负矩阵分解算法，采用块坐标下降法，效率更高。用于复杂网络计算。