Analysis-based sparse reconstruction with synthesis-based solvers

Details Analysis-based sparse reconstruction with synthesis-based solvers Analysis-based sparse reconstruction with synthesis-based solvers

2012-04-24

arxiv.org/abs/1204.5347v1

Computer Science

Information Theory

4 pages, 1 figure, presented at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2012

Scientific paper

Analysis based reconstruction has recently been introduced as an alternative to the well-known synthesis sparsity model used in a variety of signal processing areas. In this paper we convert the analysis exact-sparse reconstruction problem to an equivalent synthesis recovery problem with a set of additional constraints. We are therefore able to use existing synthesis-based algorithms for analysis-based exact-sparse recovery. We call this the Analysis-By-Synthesis (ABS) approach. We evaluate our proposed approach by comparing it against the recent Greedy Analysis Pursuit (GAP) analysis-based recovery algorithm. The results show that our approach is a viable option for analysis-based reconstruction, while at the same time allowing many algorithms that have been developed for synthesis reconstruction to be directly applied for analysis reconstruction as well.

Affiliated with

Also associated with

No associations

Rating

Analysis-based sparse reconstruction with synthesis-based solvers does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Analysis-based sparse reconstruction with synthesis-based solvers, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Analysis-based sparse reconstruction with synthesis-based solvers will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-519875