http://iet.metastore.ingenta.com
1887

Improved sparse signal recovery method based on matching pursuit revised MAP estimation

Improved sparse signal recovery method based on matching pursuit revised MAP estimation

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The problem of recovering a sparse signal buried in noise from a linear observing system has been studied, via utilising statistic prior information of noise and signal, a fast matching pursuit revised maximum a posterior (MP-RMAP) estimation method is proposed. The proposed method overcomes the none-robust estimation problem that fast Bayesian matching pursuit has in high signal-to-noise ratio cases. Compared with other methods, the MP-RMAP method is able to improve the estimation accuracy with low complexity. Experimental results verify the validity of the proposed algorithm.

References

    1. 1)
    2. 2)
    3. 3)
      • 3. Schnitter, P., Potter, L.C., Ziniel, J.: ‘Fast Bayesian matching pursuit’. Workshop on Information Theory and Applications (ITA), San Diego, CA, USA, February 2008.
    4. 4)
    5. 5)
    6. 6)
      • 6. Sumio, W., Atanabe, S.: ‘A widely applicable Bayesian information criterion’, J. Mach. Learn. Res.., 2013, 14, (13), pp. 867897.
    7. 7)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2018.0727
Loading

Related content

content/journals/10.1049/el.2018.0727
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address