文件名称:A-Novel-Variable-Step-Size-NLMS-Algorithm-and-Its
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By building the generalized Sigmoid function relationship between normalized step-size and the power of error signal,
a novel variable step-size NLMS algorithm is proposed. It is proved that the step-size of NPVSS-NLMS changes as
the new algorithm does when A=σv
-m and B=2. The physical meanings of the parameters in this algorithm are
explored. The theoretical analysis illustrate that this algorithm combine the virtues of NPVSS-NLMS and Sigmoid
function, and it leads to faster convergence rate and lower final misalignment. The computer simulation results
support the theoretical analysis.
a novel variable step-size NLMS algorithm is proposed. It is proved that the step-size of NPVSS-NLMS changes as
the new algorithm does when A=σv
-m and B=2. The physical meanings of the parameters in this algorithm are
explored. The theoretical analysis illustrate that this algorithm combine the virtues of NPVSS-NLMS and Sigmoid
function, and it leads to faster convergence rate and lower final misalignment. The computer simulation results
support the theoretical analysis.
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A Novel Variable Step-Size NLMS Algorithm and Its.pdf
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