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Several field methods with distinct depth of information and field throughput exist to estimate receiver thermal performance.
First, we utilized a simulation study to estimate receiver operating characteristic (ROC) curves and determine which parameter values provided an optimal trade-off between false positive rates and sensitivity of an algorithm.
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Multidimensional scaling, after introducing a few more assumptions as stated below, improves these individual distance estimates by jointly estimating receiver positions.
The estimated receiver positions are also of much interest in this problem and are not simply a by-product in improving pairwise distance estimates.
The estimated receiver DCB values of some GPS reference stations reached more than 25 nanoseconds (ns), while some were less than −10 ns.
As the accuracy of DCB values significantly affects the accuracy of ionospheric total electron content (TEC), more studies are needed to ensure the reliability and stability of the estimated receiver DCBs.
Based on tag detection range, we estimated receiver coverage at 2.0 km2 for Gravina Rocks and 0.7 km2 at central reef study areas.
Measure of performance of methods was done by estimating receiver operating characteristic (ROC) curve, which plots true positive rate (TPR) versus false positive rate (FPR).
The main drawback of TCP-AP is the reliance on received signal strength indication (RSSI) which is not an accurate estimate of receiver power level.
For blind estimation, a receiver estimates the synchronization parameters using unknown received data.
Obtain and by substituting coeFineiestimate in step 2. Repeat steps 2-4, until.
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