Abstract | ||
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This letter presents a novel approach for evaluating the mean behavior of the well known normalized least mean squares (NLMS) adaptive algorithm for a circularly correlated Gaussian input. The mean analysis of the NLMS algorithm requires the calculation of some normalized moments of the input. This is done by first expressing these moments in terms of ratios of quadratic forms of spherically symme... |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/LSP.2010.2090142 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Algorithm design and analysis,Random variables,Symmetric matrices,Correlation,Mathematical model,Estimation error,Convergence | Least mean squares filter,Mathematical optimization,Random variable,Algorithm design,Quadratic form,Algorithm,Symmetric matrix,Gaussian,Cumulative distribution function,Adaptive algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
18 | 1 | 1070-9908 |
Citations | PageRank | References |
3 | 0.39 | 12 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tareq Y. Al-Naffouri | 1 | 969 | 108.71 |
Muhammad Moinuddin | 2 | 103 | 20.63 |
Muhammad S. Sohail | 3 | 14 | 3.73 |