Skip to main content
Log in

Deterministic construction of compressed sensing matrices based on semilattices

  • Published:
Journal of Combinatorial Optimization Aims and scope Submit manuscript

Abstract

A central problem in compressed sensing is the construction of sensing matrices. In this paper, we show how to construct sensing matrices by using semilattices, and give many examples of sensing matrices constructed from specific semilattices. Moreover, we show that the new construction for some examples with small parameters gives better sensing matrices compared with previously known constructions.

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

Access this article

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

Download references

Acknowledgements

This research is supported by NSF of China (11271047, 11401282), NSF of Hebei Province (A2016408016), the Fund for Hundreds of Excellent Innovative Talents in Higher Education of Hebei Province (BR2-235) and Foundation of Hebei Education Department (No. YQ2014018).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junli Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, J., Liu, J. Deterministic construction of compressed sensing matrices based on semilattices. J Comb Optim 35, 148–161 (2018). https://doi.org/10.1007/s10878-017-0162-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10878-017-0162-9

Keywords

Mathematics Subject Classification

Navigation