Stability Analysis of \ell -Norm Based Convolutional Sparse Coding Using Stripe Coherence

Theoretical guarantees for the <inline-formula><tex-math notation="LaTeX">\ell _{0,\infty }</tex-math></inline-formula>-pseudo-norm based convolutional sparse coding have been established in a recent work. However, the stability analysis in the noisy case via the st...

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Vydané v:	IEEE transactions on signal processing Ročník 68; s. 5810 - 5823
Hlavní autori:	Fu, Yuli, Zhu, Tao, Xiang, Youjun, Chen, Zhen, Cai, Lei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2020
Predmet:	<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> ell _{0 Coherence Convolution Convolutional codes convolutional sparse coding Dictionaries Image coding infty }</tex-math> </inline-formula>-norm Matching pursuit algorithms Stability analysis stripe coherence
ISSN:	1053-587X, 1941-0476
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