| Autor: |
Yingsong Li, Zhengxiong Jiang, Zhan Jin, Xiao Han, Jingwei Yin |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 6, Pp 47794-47803 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2018.2867561 |
| Popis: |
In this paper, an enhanced proportionate normalized least mean square (PNLMS) algorithm with the hybrid l2,0-norm constraint is proposed for block-sparse signal processing. The proposed algorithm penalizes a mixed l2,0-norm on the PNLMS to fully exploit the sparsity and handle block-sparse signals, which is called the l2,0 norm constrained PNLMS (L20-PNLMS). The L20-PNLMS is well derived and carefully analyzed. Various experiments have been constructed to verify the effectiveness of the devised L20-PNLMS. The experimental results demonstrate that the devised L20-PNLMS performs better than the previous PNLMS algorithms do in block sparse signal processing. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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