Robust Shrinkage Normalized Sign Algorithm in an Impulsive Noise Environment
In this brief, a robust shrinkage normalized sign (RSHNS) algorithm is presented, which uses an optimal step size by minimizing the energy of the noise-free a posteriori error signal and using Price's theorem. To reduce the impact of impulsive noise, the noise-free error signal is estimated by...
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| Veröffentlicht in: | IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2017-01, Vol.64 (1), p.91-95 |
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| container_title | IEEE transactions on circuits and systems. II, Express briefs |
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| creator | Zhang, Sheng Zhang, Jiashu Han, Hongyu |
| description | In this brief, a robust shrinkage normalized sign (RSHNS) algorithm is presented, which uses an optimal step size by minimizing the energy of the noise-free a posteriori error signal and using Price's theorem. To reduce the impact of impulsive noise, the noise-free error signal is estimated by using the robust shrinkage method. It uses two threshold parameters as compared to that in the conventional shrinkage method. Finally, the improved convergence performance of the proposed RSHNS algorithm is demonstrated through simulation results in system identification and echo-cancellation applications. |
| doi_str_mv | 10.1109/TCSII.2016.2546905 |
| format | Article |
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| ispartof | IEEE transactions on circuits and systems. II, Express briefs, 2017-01, Vol.64 (1), p.91-95 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptation models Adaptive filtering Adaptive filters Algorithm design and analysis Algorithms Computer simulation Convergence impulsive noise Noise Optimized production technology robust Robustness Shrinkage sign Signal to noise ratio System identification |
| title | Robust Shrinkage Normalized Sign Algorithm in an Impulsive Noise Environment |
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