Abstract
We propose an adaptive combination of a proportionate normalized least-mean-square with individual activation factors (IAF-PNLMS) and a normalized mean-square (NLMS) for the sparse system. The IAF-PNLMS has the fastest initial convergence rate among the algorithms for the sparse system. The NLMS has a low misalignment for various systems. To obtain both fast convergence rate and a low misalignment, we derive the proposed algorithm through adaptive combination algorithm of the IAF-PNLMS and the NLMS. We simulate to show the proposed algorithm has better performance than the conventional algorithms for the sparse system in terms of convergence rate and steady-state performance.
| Original language | English |
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| Title of host publication | Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 732-736 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781467380751 |
| DOIs | |
| State | Published - 19 May 2016 |
| Event | IEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan, Province of China Duration: 14 Mar 2016 → 17 Mar 2016 |
Publication series
| Name | Proceedings of the IEEE International Conference on Industrial Technology |
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| Volume | 2016-May |
Conference
| Conference | IEEE International Conference on Industrial Technology, ICIT 2016 |
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| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 14/03/16 → 17/03/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.