A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise
This paper presents a novel subband adaptive filter (SAF) for system identification where an impulse response is sparse and disturbed with an impulsive noise. Benefiting from the uses of l1-norm optimization and l0-norm penalty of the weight vector in the cost function, the proposed l0-norm sign SAF...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/704231 |
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| _version_ | 1832560618679304192 |
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| author | Young-Seok Choi |
| author_facet | Young-Seok Choi |
| author_sort | Young-Seok Choi |
| collection | DOAJ |
| description | This paper presents a novel subband adaptive filter (SAF) for system identification where an impulse response is sparse and disturbed with an impulsive noise. Benefiting from the uses of l1-norm optimization and l0-norm penalty of the weight vector in the cost function, the proposed l0-norm sign SAF (l0-SSAF) achieves both robustness against impulsive noise and remarkably improved convergence behavior more than the classical adaptive filters. Simulation results in the system identification scenario confirm that the proposed l0-norm SSAF is not only more robust but also faster and more accurate than its counterparts in the sparse system identification in the presence of impulsive noise. |
| format | Article |
| id | doaj-art-b766e496345147e1ab4d1dd1c71b2fc2 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-b766e496345147e1ab4d1dd1c71b2fc22025-02-03T01:27:13ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/704231704231A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive NoiseYoung-Seok Choi0Department of Electronic Engineering, Gangneung-Wonju National University, Gangneung 210-702, Republic of KoreaThis paper presents a novel subband adaptive filter (SAF) for system identification where an impulse response is sparse and disturbed with an impulsive noise. Benefiting from the uses of l1-norm optimization and l0-norm penalty of the weight vector in the cost function, the proposed l0-norm sign SAF (l0-SSAF) achieves both robustness against impulsive noise and remarkably improved convergence behavior more than the classical adaptive filters. Simulation results in the system identification scenario confirm that the proposed l0-norm SSAF is not only more robust but also faster and more accurate than its counterparts in the sparse system identification in the presence of impulsive noise.http://dx.doi.org/10.1155/2014/704231 |
| spellingShingle | Young-Seok Choi A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise Journal of Applied Mathematics |
| title | A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise |
| title_full | A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise |
| title_fullStr | A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise |
| title_full_unstemmed | A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise |
| title_short | A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise |
| title_sort | new subband adaptive filtering algorithm for sparse system identification with impulsive noise |
| url | http://dx.doi.org/10.1155/2014/704231 |
| work_keys_str_mv | AT youngseokchoi anewsubbandadaptivefilteringalgorithmforsparsesystemidentificationwithimpulsivenoise AT youngseokchoi newsubbandadaptivefilteringalgorithmforsparsesystemidentificationwithimpulsivenoise |