Current time: 25-07-2014, 08:37 PM Hello There, Guest! LoginRegister)
View New Posts | View Today's Posts


Some Information About

estimate the mean vector and the covariance matrix

is hidden..!! Click Here to show estimate the mean vector and the covariance matrix's more details..
Do You Want To See More Details About "estimate the mean vector and the covariance matrix" ? Then

.Ask Here..!

with your need/request , We will collect and show specific information of estimate the mean vector and the covariance matrix's within short time.......So hurry to Ask now (No Registration , No fees ...its a free service from our side).....Our experts are ready to help you...

.Ask Here..!

In this page you may see estimate the mean vector and the covariance matrix related pages link And You're currently viewing a stripped down version of content. open "Show Contents" to see content in proper format with attachments
Page / Author tags

LEAST MEAN SQUARE ALGORITHM


Posted 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,
nal and additional noise n(t). As shown above the outputs of the individual sensors are linearly combined after being scaled using corresponding weights such that the antenna array pattern is optimized to have maximum possible gain in the direction of the desired signal and nulls in the direction of the interferers. The weights here will be computed using LMS algorithm based on Minimum Squared Error (MSE) criterion. Therefore the spatial filtering problem involves estimation of signalfrom the received signal (i.e. the array output) by minimizing the error between the reference signal , which c..................[:=> Show Contents <=:]



LEAST MEAN SQUARE ALGORITHM


Posted 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,
ts, which forms the integral part of the adaptive beamforming system as shown in the figure below. The output of the antenna arrayis given by,

tsdenotes the desired signal arriving at angle0θθandudenotes interfering signals arriving at angle of incidences)(tiiθrespectively. a(0θ) and a(i) represents the steering vectors for the desired signal and interfering signals respectively. Therefore it is required to construct the desired signal from the received signal amid the interfering signal and additional noise n(t). As shown above the outputs of the individual sensors are linearly combi..................[:=> Show Contents <=:]



Cloud Plugin by Remshad Medappil