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## LEAST MEAN SQUARE ALGORITHMPosted by: projectsofme Created at: Wednesday 24th of November 2010 05:13:27 AM Last Edited Or Replied at :Monday 18th of April 2011 01:46:46 AM | lms algorithm in mathematics ,
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S algorithm. LMS algorithm formulation (All signals are represented by their sample values) From the method of steepest descent, the weight vector equation is given by , )})]({(2 (6.3) The gradient vector in the above weight update equation can be computed as ∇(E{ew2(n)}) = - 2r + 2Rw(n) (6.4) In the met.................. [:=> Show Contents <=:] | |||

## LEAST MEAN SQUARE ALGORITHMPosted by: projectsofme Created at: Wednesday 24th of November 2010 05:13:27 AM Last Edited Or Replied at :Monday 18th of April 2011 01:46:46 AM | lms algorithm in mathematics ,
least mean squares algorithm,
linear minimum mean square error algorithms doc ,
mathematics,
mathmatics ,
least mean square method problems,
least mean square algorithm doc ,
least square algorithm,
seminar least mean square algorithm ,
estimate the mean vector and the covariance matrix,
least mean squares lms algorithms ,
mean square error algorithm,
| ||

initiated with an arbitrary value w(0) for the weight vector at n=0. The successive corrections of
the weight vector eventually leads to the minimum value of the mean squared error. for more information,please go through: http://etd.lib.fsu.edu/theses/available/etd-04092004-14371.................. [:=> Show Contents <=:] |

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