Improved Variable Step-Size Partial Update LMS Algorithm
| Autor: | Shao-I Chu, Shang-Hung Tsai, Chun-Yi Li |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Computational complexity theory Computer science 020208 electrical & electronic engineering 020206 networking & telecommunications 02 engineering and technology Adaptive filter Least mean squares filter Variable (computer science) Rate of convergence Convergence (routing) 0202 electrical engineering electronic engineering information engineering Algorithm design Algorithm Performance metric |
| Zdroj: | 2016 3rd International Conference on Green Technology and Sustainable Development (GTSD). |
| Popis: | Partial update (PU) methods play a critical part in least-mean square (LMS) algorithms with an aim to reducing computational complexity. This paper presented a novel variable step-size PU procedure for LMS algorithms via the performance metric, called error difference indicator. With the aid of such an indicator, the PU procedure can determine the proper step size and works efficiently with a low-cost hardware implementation. Simulation results revealed that the proposed PU method speeds up the convergence rate of LMS algorithms as compared to the existing methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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