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SCIENCE CHINA Information Sciences, Volume 64 , Issue 11 : 219303(2021) https://doi.org/10.1007/s11432-020-3051-9

Two dimensional sparse signal reconstruction via 2D inverse-free sparse Bayesian learning

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  • ReceivedMar 26, 2020
  • AcceptedSep 1, 2020
  • PublishedOct 13, 2021

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant Nos. 61801484, 61921001) and China Postdoctoral Science Foundation (Grant No. 2019TQ0072)


References

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  • Figure 1

    (Color online) Monte-Carlo experimental results. (a) Relative error versus $P$, (b) relative error versus SNR, and protectłinebreak (c) computational time versus $N$ of three algorithms.

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