Proposed Hybrid Sparse Adaptive Algorithms for System Identification
Abstract For sparse system identification,recent suggested algorithms are -norm Least Mean Square ( -LMS), Zero-Attracting LMS (ZA-LMS), Reweighted Zero-Attracting LMS (RZA-LMS), and p-norm LMS (p-LMS) algorithms, that have modified the cost function of the conventional LMS algorithm by addin...
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| Formato: | article |
| Lenguaje: | EN |
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Al-Khwarizmi College of Engineering – University of Baghdad
2017
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/46aaaa0df3a44edc818af9ab771e9839 |
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