非负矩阵分解法，这一种新型的子空间分解方法，增加了非负性约束，比PCA、ICA更有效-Non-negative matrix factorization method, which a new type of sub-space decomposition method, an increase of non-negative constraint, compared with PCA, ICA is more efficient

NMF及其后续的各种方法，还有ICA的比较方法，-NMFand the expand algorithms ,compare with ICA,

ICA盲源分离/数字信号非高斯性最大化、负熵最大化-fastica toolbox nmf kica

实现非负矩阵分解算法和独立成分分析，得到遥感遥感图像解混结果(The non negative matrix factorization algorithm and independent component analysis are implemented to get the unmixing results of remote sensing images)