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This is in spirit similar to the popular feature space maximum likelihood linear regression (fMLLR) [30] that uses the maximum likelihood criterion to estimate the linear transform.
The DA procedure uses the maximum likelihood ensemble filter (MLEF), which is capable of handling both nonlinear model dynamics and nonlinear observation equations, in a fixed-lag smoother formulation.
In the physical layer detection technique, each legitimate user is assigned a signature key that is multiplied by the message, and each monitoring node uses the maximum likelihood approach to determine whether the message is legitimate or not.
The Kelly's detector uses the maximum likelihood (ML) approach to estimate the unknown parameters of the likelihood ratio test, namely the total noise covariance matrix and the complex amplitude of the useful signal.
Here, we describe an analysis method that uses the Maximum Likelihood Estimator (MLE) in order to perform simultaneous position estimates of multiple emitters within a small sub-region.
One such algorithm uses the maximum likelihood criterion adjusted using a penalization term for taking into account model complexity to define breakpoints [ 28].
Similar(47)
The parameters were estimated using the maximum likelihood estimator (MLE).
The decision is made using the maximum likelihood rule.
We estimated β and σ using the maximum likelihood method.
This tree was made using the maximum likelihood method.
Parameters were estimated using the maximum likelihood method.
More suggestions(15)
uses the maximum cycle
uses the maximum criterion
uses the maximum velocity
uses the maximum eigenvalue
uses the maximum number
uses the maximum power
uses the maximum slope
uses the maximum unit
uses the maximum parsimony
uses the maximum distance
uses the maximum amount
uses the maximum transmit
uses the maximum P-value
uses the maximum length
uses the maximum transmission
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