Variable step-size sign subband adaptive filter with subband filter selection
| Autor: | JaeWook Shin, Jae-Geol Cho, Bum Yong Park, Hyun Jae Baek |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
020208 electrical & electronic engineering System identification 020206 networking & telecommunications 02 engineering and technology Filter (signal processing) Adaptive filter Rate of convergence Control and Systems Engineering Signal Processing 0202 electrical engineering electronic engineering information engineering Computer Vision and Pattern Recognition Electrical and Electronic Engineering Algorithm Root-mean-square deviation Software Sign (mathematics) |
| Zdroj: | Signal Processing. 152:141-147 |
| ISSN: | 0165-1684 |
| DOI: | 10.1016/j.sigpro.2018.05.027 |
| Popis: | This letter proposes a novel sign subband adaptive filtering (SSAF) algorithm with a subset selection for subband filters, called the SS-SSAF. The proposed algorithm achieves the fast convergence performance and reduces the computational complexity by a proposed sufficient condition. The condition associated with each subband immediately ensures the decrease of the mean square deviation (MSD) value at every iteration. Furthermore, we suggest the variable step-size algorithm for SS-SSAF to achieve both fast convergence speed and small steady-state errors. Simulation results show that the proposed algorithm with fixed step-size performs better than the conventional SSAF and the other improved SSAF algorithms in terms of the convergence rate. In addition, the performance of proposed variable step-size algorithm is demonstrated in the system identification compared with recent variable step-size SSAFs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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