Exact(26)
The sensor whose observation is a local maxima computes a position estimate at each epoch.
The final estimate at each stage is a linear combination of all Kalman filter outputs using the mode probabilities.
We first consider the (centralized) ML estimate and then we propose to use a suboptimal strategy based on local distance estimate at each node.
Instead of globally minimizing the MSE of the source symbol detection at the destination only, we minimize the MSE of the soft estimate at each hop.
It is an iterative method that starts with an initial guess and improves the estimate at each step by determining the local linear least-squares (LS) solution.
Instead, of providing an average concentration parameter, we seek to quantify the uncertainty of the DOA estimate at each TF bin.
Similar(34)
A peer-to-peer estimator computes local estimates at each node by combining the information from neighboring nodes without the need of central coordination.
An alternative problem to the ML position estimation problem has been proposed based on local ML distance estimates at each node.
AWC and Soil Electric Resistivity (SER) were estimated at each location.
The forage mass was estimated at each grazing cycle.
These are estimated at each voxel from samples of the Posterior Distribution.
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Justyna Jupowicz-Kozak
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