首页> 外文期刊>Signal processing >Corrigendum to ‘Dynamic Recovery for Block Sparse Signals’ (Signal Processing (2016) 130 (197-203) (S0165168416301384) (10.1016/j.sigpro.2016.06.027))
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Corrigendum to ‘Dynamic Recovery for Block Sparse Signals’ (Signal Processing (2016) 130 (197-203) (S0165168416301384) (10.1016/j.sigpro.2016.06.027))

机译:“块稀疏信号的动态恢复”勘误表(信号处理(2016)130(197-203)(S0165168416301384)(10.1016 / j.sigpro.2016.06.027))

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This article has been retracted at the request of the editors. They have found that the main contributions have already appeared in the article “A Common Network Architecture Efficiently Implements a Variety of Sparsity-based Inference Problems”, A.S. Charles, P. Garrigues and C.J. Rozell. Neural Computation, 24(12), pp. 3317-3339, December 2012 here: http://www.mitpressjournals.org/doi/10.1162/NECO_a_00372#.WFuTBFV97cs The authors would like to apologise for any inconvenience caused.
机译:本文已应编辑要求撤消。他们发现,主要的贡献已经出现在A.S.的“通用网络体系结构有效地实现各种基于稀疏性的推理问题”一文中。查尔斯(Charles),P。加里格(P. Garrigues)和C.J.罗泽尔(C.J. Rozell) 《神经计算》,第24卷第12期,第3317-3339页,2012年12月,这里:http://www.mitpressjournals.org/doi/10.1162/NECO_a_00372#.WFuTBFV97cs对于由此带来的任何不便,作者深表歉意。

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  • 来源
    《Signal processing》 |2017年第12期|228-228|共1页
  • 作者单位

    Signal Processing Laboratory, School of Electronic Information, Wuhan University, Wuhan, China;

    Signal Processing Laboratory, School of Electronic Information, Wuhan University, Wuhan, China;

    Signal Processing Laboratory, School of Electronic Information, Wuhan University, Wuhan, China,ECE, Duke University, DurhamNC, United States;

    Signal Processing Laboratory, School of Electronic Information, Wuhan University, Wuhan, China;

    Signal Processing Laboratory, School of Electronic Information, Wuhan University, Wuhan, China;

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