文件名称:NCLS_lina
- 所属分类：
- 图形图像处理(光照,映射..)
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- [Matlab] [源码]
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- 2013-03-30
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- 1kb
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- 庄*
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非负约束最小二乘法丰度反演 NCLS 矩阵运算 EA=X
参考文献：[1]R. Bro, S. D. Jong,"A FAST NON-NEGATIVITY-CONSTRAINED LEAST SQUARES algorithm"
[2]Charles L. Lawson, Richard J. Hanson ,Solving Least Squares Problems (Classics in Applied Mathematics) (Society for Industrial Mathematics,1987)
[3]C.I. Chang, Hyperspectral Imaging: Techniques for Spectral Detection
and Classification, chaper 3.5- 非负约束最小二乘法丰度反演 NCLS 矩阵运算 EA=X
参考文献：[1]R. Bro, S. D. Jong,"A FAST NON-NEGATIVITY-CONSTRAINED LEAST SQUARES algorithm"
[2]Charles L. Lawson, Richard J. Hanson ,Solving Least Squares Problems (Classics in Applied Mathematics) (Society for Industrial Mathematics,1987)
[3]C.I. Chang, Hyperspectral Imaging: Techniques for Spectral Detection
and Classification, chaper 3.5
参考文献：[1]R. Bro, S. D. Jong,"A FAST NON-NEGATIVITY-CONSTRAINED LEAST SQUARES algorithm"
[2]Charles L. Lawson, Richard J. Hanson ,Solving Least Squares Problems (Classics in Applied Mathematics) (Society for Industrial Mathematics,1987)
[3]C.I. Chang, Hyperspectral Imaging: Techniques for Spectral Detection
and Classification, chaper 3.5- 非负约束最小二乘法丰度反演 NCLS 矩阵运算 EA=X
参考文献：[1]R. Bro, S. D. Jong,"A FAST NON-NEGATIVITY-CONSTRAINED LEAST SQUARES algorithm"
[2]Charles L. Lawson, Richard J. Hanson ,Solving Least Squares Problems (Classics in Applied Mathematics) (Society for Industrial Mathematics,1987)
[3]C.I. Chang, Hyperspectral Imaging: Techniques for Spectral Detection
and Classification, chaper 3.5
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NCLS_lina.m