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The analysis includes three (3) estimating targets i.e. lowest bid, accepted bid and mean of the bids.
We evaluated the performance of 11 computational tools in identifying genome-wide targets in Arabidopsis and other plants with procedures that optimized score-cutoffs for estimating targets.
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This limits its application for unambiguously estimating target parameters.
These empirical functions can be used in modelling, and in estimating target yields for management purposes.
However, limited work has been done in estimating target motion parameters in MPR systems (e.g., [11, 12]).
This paper presents a new algorithm called Signal Subspace Extraction (SSE) for detecting and estimating target echoes in reverberation.
First, Barshan's and Kuc's method for estimating target range and azimuth angle is adapted to the geometry of the sonarhead.
Many similar researches exploit maneuver information from optical sensors by estimating target orientation directly [7] or extracting image fluctuant features indirectly [8].
Additionally, Fig. 3 draws the MSE of the estimating target scattering matrix S t versus the SCNR, with a fixed 50 observation samples.
W. Li et al.'s paper presents a new algorithm called Signal Subspace Extraction (SSE) for detecting and estimating target echoes in reverberation.
Many similar researches exploit maneuver information from optical sensors by directly estimating target orientation [7] or indirectly extracting image fluctuant features [8].
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