New variable step-size LMS adaptive algorithm
Tang Pu-ying
Abstract
Tang Pu-ying
Abstract
This paper discusses about a type of algorithms of variable step-size LMS adaptive filtering and presents another new non-linear functional relationship between the step-size and the error signal,which improves the algorithm performance.On the condition of the same convergence properties or the same excess MSE, the new algorithm has less excess MSE or has better convergence properties than the former algorithms.Computer simulation results confirm the theoretical analysis and show the algorithm is superior to the former algorithms in performance.
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This paper discusses about a type of algorithms of variable step-size LMS adaptive filtering and presents another new non-linear functional relationship between the step-size and the error signal,which improves the algorithm performance.On the condition of the same convergence properties or the same excess MSE, the new algorithm has less excess MSE or has better convergence properties than the former algorithms.Computer simulation results confirm the theoretical analysis and show the algorithm is superior to the former algorithms in performance.
Key concepts: Algorithm, Convergence (economics), Adaptive filter, Variable (mathematics), Least mean squares filter, Adaptive algorithm, Computer science, Rate of convergence