A James-Stein Estimator based Generalized OMP Algorithm for Robust Signal Recovery using Sparse Representation
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912563842777088 |
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| author | Banerjee, Debraj Chatterjee, Amitava |
| author_facet | Banerjee, Debraj Chatterjee, Amitava |
| contents | In this paper, we introduce a novel algorithm named JS-gOMP, which enhances the generalized Orthogonal Matching Pursuit (gOMP) algorithm for improved noise robustness in sparse signal processing. The JS-gOMP algorithm uniquely incorporates the James-Stein estimator, optimizing the trade-off between signal recovery and noise suppression. This modification addresses the challenges posed by noise in the dictionary, a common issue in sparse representation scenarios. Comparative analyses demonstrate that JS-gOMP outperforms traditional gOMP, especially in noisy environments, offering a more effective solution for signal and image processing applications where noise presence is significant. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_01410 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A James-Stein Estimator based Generalized OMP Algorithm for Robust Signal Recovery using Sparse Representation Banerjee, Debraj Chatterjee, Amitava Signal Processing Statistics Theory 94A12, 41A45, 94A20 In this paper, we introduce a novel algorithm named JS-gOMP, which enhances the generalized Orthogonal Matching Pursuit (gOMP) algorithm for improved noise robustness in sparse signal processing. The JS-gOMP algorithm uniquely incorporates the James-Stein estimator, optimizing the trade-off between signal recovery and noise suppression. This modification addresses the challenges posed by noise in the dictionary, a common issue in sparse representation scenarios. Comparative analyses demonstrate that JS-gOMP outperforms traditional gOMP, especially in noisy environments, offering a more effective solution for signal and image processing applications where noise presence is significant. |
| title | A James-Stein Estimator based Generalized OMP Algorithm for Robust Signal Recovery using Sparse Representation |
| topic | Signal Processing Statistics Theory 94A12, 41A45, 94A20 |
| url | https://arxiv.org/abs/2509.01410 |