YALL1-Group: A solver for group/joint sparse reconstruction
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*'''A''': an m-by-n matrix with m < n, or a structure with the following fields: | *'''A''': an m-by-n matrix with m < n, or a structure with the following fields: | ||
- | : | + | :1) A.times(required): a function handle for <math>A*x</math>; |
- | : | + | :2) A.trans(required): a function handle for <math>A^T*x</math>; |
- | : | + | :3) A.invIpAAt: a function handle for <math>(\beta_1I_m+\beta_2AA^T)^{-1}*x</math>; |
- | : | + | :4) A.invAAt: a function handle for <math>(AA^T)^{-1}*x</math>. |
+ | |||
+ | Note: A.invIpAAt is only required when (a) primal solver is to be used, and b) A is non-orthonormal, and (c) exact linear system solving is to be performed. | ||
+ | A.invAAt is only required when (a) dual solver is to be used, and b) A is non-orthonormal, and (c) exact linear system solving is to be performed. | ||
+ | |||
+ | *'''b''': an m-vector for the group-sparse model or an m-by-l matrix for the joint sparse model. |
Revision as of 16:36, 12 June 2011
YALL1-Group is a MATLAB software package for group/joint sparse reconstruction, written by Wei Deng, Wotao Yin and Yin Zhang at Rice University.
Model
(1) Group-sparse basis pursuit model:
Minimize subject to
where , , denotes the index set of the -th group, and is the weight for the -th group.
(2) Jointly-sparse basis pursuit model:
Minimize subject to
where , denotes the -th row of matrix , and is the weight for the -th row.
Syntax
- [x,Out] = YALL1_group(A,b,groups,'param1',value1,'param2',value2,...);
Input Arguments
- A: an m-by-n matrix with m < n, or a structure with the following fields:
- 1) A.times(required): a function handle for ;
- 2) A.trans(required): a function handle for ;
- 3) A.invIpAAt: a function handle for ;
- 4) A.invAAt: a function handle for .
Note: A.invIpAAt is only required when (a) primal solver is to be used, and b) A is non-orthonormal, and (c) exact linear system solving is to be performed.
A.invAAt is only required when (a) dual solver is to be used, and b) A is non-orthonormal, and (c) exact linear system solving is to be performed.
- b: an m-vector for the group-sparse model or an m-by-l matrix for the joint sparse model.