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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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. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in
the direction of the negative of the gradient vector which eventually leads to the minimum mean
square error. Compared to other algorithms LMS algorithm is relatively simple; it does not require
correlation function calculation nor does it require matrix inversions. 6.2 LMS Algorithm and Adaptive Arrays Consider a Uniform Linear Array (ULA) with N isotropic elements, which forms the integral part of the adaptive beamforming system as shown in the figure below. The output of the antenna arr.................. [:=> 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 ,
maths seminar topics square,
| ||

(n) ] (6.7) = w(n) + μx(n)e*(n) The LMS algorithm is 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 squar.................. [:=> Show Contents <=:] |

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