Rank-Awareness Sparse Blind Deconvolution Using Modulated Input-Reference-Cited by-同舟云学术

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Rank-Awareness Sparse Blind Deconvolution Using Modulated Input

Published:2023-06-08 Issue:11 Volume:42 Page:6684-6700
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Zhang Jingchao,Cao Qian,Su Yinuo,Qiao Liyan

Funder

National Natural Science Foundation of China

Hei Long Jiang Postdoctoral Foundation

Natural Science Foundation of Heilongjiang Province of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-023-02415-1.pdf

Reference23 articles.

1. A. Ahmed, Blind deconvolution using modulated inputs. IEEE Trans. Signal Process. 68, 374–387 (2019). https://doi.org/10.1109/TSP.2019.2959218

2. A. Ahmed, B. Recht, J. Romberg, Blind deconvolution using convex programming. IEEE Trans. Inf. Theory 60(3), 1711–1732 (2013). https://doi.org/10.1109/TIT.2013.2294644

3. S.I. Amari, S.C. Douglas, A. Cichocki, H.H. Yang, Multichannel blind deconvolution and equalization using the natural gradient, in First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications (IEEE, 1997), pp. 101–104. https://doi.org/10.1109/SPAWC.1997.630083

4. E.J. Candès, J. Romberg, T. Tao, Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52(2), 489–509 (2006). https://doi.org/10.1109/TIT.2005.862083

5. C. Cheng, W. Dai, Short-and-sparse deconvolution via rank-one constrained optimization (ROCO), in ICASSP 2022—2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 5882–5886. https://doi.org/10.1109/ICASSP43922.2022.9747176

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