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Verdant et al. [31] proposed three analog-domain motion detection algorithms in video surveillance, namely, the scene-based adaptive algorithm, the recursive average with estimator algorithm, and the adaptive wrapping thresholding algorithm, in which background estimation and variance of each pixel are computed with nonlinear operations to perform adaptive local thresholding.
Then, the behavior of the structures is assessed with estimator functioning and dimension considerations, yielding conclusive structural results.
with estimator variance V j = h T Σ ~ j - 1 h - 1.
For the single mass model given in [6, 7] and two mass model given in [8], nonlinear controllers such as nonlinear static state feedback with estimator and nonlinear dynamic state feedback with estimator (NDSFE) are used to control the WT at below rated wind speed.
If we increase δ to 0.48, we will find that all the first-order algorithms including ours will all fail to work, while the three high-order algorithms (K = 2, 4, 6) still perform comparably with estimator MSE curves very closely adhering to the CRB (results not shown for space saving).
For this small frequency drift, we see that our algorithms of order K = 1, 2, and 4 all yield comparable performance with estimator MSE curves adhering closely to the CRB curve, and they all outperform the EM-based and the JML-CFE algorithms.
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This work deals with estimators for predicting when parametric roll resonance is going to occur in surface vessels.
We demonstrate how to obtain multivariate tests that are robust to covariance heterogeneity and non-normality with estimators of location and scale based on trimming and Winsorizing.
These moments have low variance and no severe biases, and they compare favorably with estimators obtained by maximum likelihood.
Bid managers will be required to work with estimators.
Such selection is based on a criterion relative to the estimation errors obtained with each estimator.
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CEO of Professional Science Editing for Scientists @ prosciediting.com