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Single-channel sampling and multi-channel reconstruction AIC via multiple chirp noise sequences

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References

  1. Yan H C, Xu J, Xia X G, et al. Underwater sonar target imaging via compressed sensing with M sequences. Sci China Inf Sci, 2016, 59: 122308

    Article  Google Scholar 

  2. Li L C, Li D J, Pan Z H. Compressed sensing application in interferometric synthetic aperture radar. Sci China Inf Sci, 2017, 60: 102305

    Article  Google Scholar 

  3. Arias-Castro E, Eldar Y C. Noise folding in compressed sensing. IEEE Signal Process Lett, 2011, 18: 478–481

    Article  Google Scholar 

  4. Candes E J, Wakin M B, Boyd S P. Enhancing sparsity by reweighted l1 minimization. J Fourier Anal Appl, 2007, 14: 877–905

    Article  MATH  Google Scholar 

  5. Haupt J, Castro R M, Nowak R. Distilled sensing: adaptive sampling for sparse detection and estimation. IEEE Trans Inform Theor, 2011, 57: 6222–6235

    Article  MathSciNet  MATH  Google Scholar 

  6. Peter S, ArtinaM, Fornasier M. Damping noise-folding and enhanced support recovery in compressed sensing. IEEE Trans Signal Process, 2015, 63: 5990–6002

    Article  MathSciNet  Google Scholar 

  7. Zhang Y, Zhang G, Wen F. Adaptive selective compressive sampling for sparse signal acquisition in noisy background. Electron Lett, 2015, 51: 1704–1706

    Article  Google Scholar 

  8. Lavrenko A, Romer F, Galdo G D, et al. On the SNR variability in noisy compressed sensing. IEEE Signal Process Lett, 2017, 24: 1148–1152

    Article  Google Scholar 

  9. Cai T T, Wang L. Orthogonal matching pursuit for sparse signal recovery with noise. IEEE Trans Inform Theor, 2011, 57: 4680–4688

    Article  MathSciNet  MATH  Google Scholar 

  10. Zhang S L, Xi F, Chen S Y, et al. Segment-sliding reconstruction of pulsed radar echoes with sub-Nyquist sampling. Sci China Inf Sci, 2016, 59: 122309

    Article  Google Scholar 

  11. Quan X Y, Zhang B C, Wang Z D, et al. An efficient data compression technique based on BPDN for scattered fields from complex targets. Sci China Inf Sci, 2017, 60: 109302

    Article  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61501031, 91638205, 61421001, 61331021).

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Correspondence to Hao Huan or Ran Tao.

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Shi, P., Huan, H. & Tao, R. Single-channel sampling and multi-channel reconstruction AIC via multiple chirp noise sequences. Sci. China Inf. Sci. 61, 109302 (2018). https://doi.org/10.1007/s11432-018-9471-3

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  • DOI: https://doi.org/10.1007/s11432-018-9471-3

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