May 23, 2008 · Abstract: The least mean-square (LMS) algorithm is generally expected to operate near the corresponding Wiener filter solution.

associated with the non-Wiener effect in the LMS adaptive equalizer problem with strong sinusoidal interference. The weight behavior of the adaptive ...

Recent results show that an adaptive transversal least-mean-square (LMS) equalizer in a narrowband-interference dominated environment operates at a mean weight ...

Sep 1, 2008 · The least mean-square (LMS) algorithm is generally expected to operate near the corresponding Wiener filter solution.

For this application, the steady-state LMS equalizer behavior does not correspond to that of the fixed Wiener equalizer: the mean of its weights is different ...

Non-Wiener Mean Weight Behavior of LMS Transversal Equalizers With Sinusoidal Interference · Improved Mean-Square Error Estimate for the LMS Transversal ...

Apr 10, 2007 · The least mean square (LMS) algorithm is widely expected to operate near the corresponding Wiener filter solution.

MSE for a complex sinusoidal interference scenario. To be- gin, we must know the steady-state mean weights in (8). Because w, cannot be determined with this ...

May 1, 1998 · This paper applies a new vector subspace model to determine the non-Wiener solutions of the LMS algorithm when the reference input is an ...

Non-Wiener mean weight behavior of LMS transversal equalizers with sinusoidal inter- ference, IEEE Transactions on Signal Pro- cessing 56(9): 4521–4525. Kim ...