Skip to main content

Advertisement

Log in

Inertial projection neural network for nonconvex sparse signal recovery with prior information

  • Letter
  • Published:
Frontiers of Computer Science Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Candès E J. Compressive sampling. In: Proceedings of the International Congress of Mathematicians. 2006, 1433–1452

  2. Chartrand R. Exact reconstruction of sparse signals via nonconvex minimization. IEEE Signal Processing Letters, 2007, 14(10): 707–710

    Article  MATH  Google Scholar 

  3. Yin P, Lou Y, He Q, Xin J. Minimization of ℓ1−2 for compressed sensing. SIAM Journal on Scientific Computing, 2015, 37(1): A536–A563

    Article  MathSciNet  MATH  Google Scholar 

  4. Ince T, Nacaroglu A, Watsuji N. Nonconvex compressed sensing with partially known signal support. Signal Processing, 2013, 93(1): 338–344

    Article  Google Scholar 

  5. Zhang J, Zhang S, Wang W. Robust signal recovery for ℓ1−2 minimization via prior support information. Inverse Problems, 2021, 37(11): 115001

    Article  MathSciNet  MATH  Google Scholar 

  6. Zhu L, Wang J, He X, Zhao Y. An inertial projection neural network for sparse signal reconstruction via ℓ1−2 minimization. Neurocomputing, 2018, 315: 89–95

    Article  MATH  Google Scholar 

  7. Zhang H, Qiao G, Lu S, Yao L, Chen X. Attention-based feature fusion generative adversarial network for yarn-dyed fabric defect detection. Textile Research Journal, 2022

  8. Chartrand R, Staneva V. Restricted isometry properties and nonconvex compressive sensing. Inverse Problems, 2008, 24(3): 035020

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

This paper was supported by the project of the Natural Science of Ningxia (Nos. 2022AAC03642, 2020AAC03254), and the Southwest University Training Program of Innovation and Entrepreneurship for Undergraduates (No. X202210635563)

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zili Zhang.

Additional information

Supporting information

The supporting information is available online at journal.hep.com.cn and link.springer.com.

Supporting Document

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Luo, X., Zhang, Z. Inertial projection neural network for nonconvex sparse signal recovery with prior information. Front. Comput. Sci. 17, 176343 (2023). https://doi.org/10.1007/s11704-022-2171-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11704-022-2171-9