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SCIENTIA SINICA Informationis
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SCIENTIA SINICA Informationis, Volume 49 , Issue 7 : 900-910(2019) https://doi.org/10.1360/N112018-00085

Sparse recovery decaying signals based on $\ell^{0}$ regularization via PDASC

Hu ZHANG 1, Yongxiu CAO 1,*, Yuling JIAO 1, Yueyong SHI 2,3
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  • ReceivedApr 16, 2018
  • AcceptedJul 23, 2018
  • PublishedApr 9, 2019
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Abstract


Funded by

国家自然科学基金(11501578,11501579,11701571,11801531,11871474,41572315)

国家社科基金(17BTJ017)


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  •   

    Algorithm 1 PDASC

    Require:$\lambda_0~=~\frac{1}{2}\|\Psi^t~y\|^2_{\infty}$, $\mathcal{A}(\lambda_0)~=~\emptyset$, $x(\lambda_0)~=0$,

    $d(\lambda_0)=~\Psi^t~y$,

    下降因子 $\mu~\in(0,1)$.

    for $k=1,2,\ldots$

    令 $\lambda_k~=~\mu\lambda_{k-1}$, $\mathcal{A}_0~=~\mathcal{A}(\lambda_{k-1})$, $(x^0,d^0)~=~(x(\lambda_{k-1}),~d(\lambda_{k-1}))$;

    for $j=1,2,\ldots$

    定义积极集 $\mathcal{A}_j$ 和非积极集 $\mathcal{I}_j$分别为
qqqq

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