Block‐sparse signal recovery based on truncated ℓ1 minimisation in non‐Gaussian noise
This study addresses the issue of block‐sparse recovery in compressive sensing in the presence of non‐Gaussian measurement noise. By using the generalised ℓp‐norm noise constraint for 2≤p<∞ to replace the popular ℓ2‐norm, in this study, the authors put forward a truncated ℓ1 model for recovering...
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Published in | IET communications Vol. 13; no. 2; pp. 251 - 258 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
The Institution of Engineering and Technology
18.01.2019
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Subjects | |
Online Access | Get full text |
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