Sparse regularization-based reconstruction for bioluminescence tomography using a multilevel adaptive finite element method.
about
Comparative studies of l(p)-regularization-based reconstruction algorithms for bioluminescence tomography.Hybrid multilevel sparse reconstruction for a whole domain bioluminescence tomography using adaptive finite element.Compressive sensing based reconstruction in bioluminescence tomography improves image resolution and robustness to noise.
P2860
Sparse regularization-based reconstruction for bioluminescence tomography using a multilevel adaptive finite element method.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Sparse regularization-based re ...... daptive finite element method.
@ast
Sparse regularization-based re ...... daptive finite element method.
@en
Sparse regularization-based re ...... daptive finite element method.
@nl
type
label
Sparse regularization-based re ...... daptive finite element method.
@ast
Sparse regularization-based re ...... daptive finite element method.
@en
Sparse regularization-based re ...... daptive finite element method.
@nl
prefLabel
Sparse regularization-based re ...... daptive finite element method.
@ast
Sparse regularization-based re ...... daptive finite element method.
@en
Sparse regularization-based re ...... daptive finite element method.
@nl
P2093
P2860
P356
P1476
Sparse regularization-based re ...... daptive finite element method.
@en
P2093
Duofang Chen
Junting Liu
Qitan Zhang
Xiaowei He
Yanbin Hou
Yuchuan Jiang
P2860
P304
P356
10.1155/2011/203537
P577
2010-10-04T00:00:00Z