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The exponential decay rate can be directly estimated using matrices of the Lyapunov Krasovskii functional and its derivative.

The symbols associated to STC 1 can then be directly estimated using a conventional space-time decoder.

Equation (1) has a simple format that can be directly estimated using the matched employer‐employee data sources that we use.

Because the frequency content carried by the initial seconds of a signal does not depend on epicentral distance, earthquake magnitude can be directly estimated using frequency parameters without correcting distance effects [6, 24, 25, 28].

These parameters can be directly estimated using a nonlinear regression model from the observed head and foot points of a walking human instead of estimating the vanishing line and point in the image, which is extremely sensitive to noise in practice.

Recombination ratios between males and females could not be directly estimated using marker intervals since male and female maps within families did not contain the same markers.

Similar(54)

The yttrium doping effect on grain boundary diffusion was directly estimated using bicrystal experiments.

The yield is directly estimated using the joint cumulative distribution function (CDF) over the tolerance box requiring no numerical integration and saving considerable computational complexity for multidimensional problems.

Subsequently, the modal parameters of the model for different mean velocities of wind flow are directly estimated using weight matrices in the neural network.

In this approach, the parameters of the copula were directly estimated using the empirical distribution (e.g., empirical distribution using the Weibull plotting position formula) which is listed in Table 4.

We employ three different classes of acoustic models: (1) traditional HMM/GMM, where the emission probabilities of the HMM states are modeled using GMMs; (2) hybrid HMM/DNN, where the emission probabilities of the HMM states are directly estimated using the DNN; and (3) BN-HMM/GMM, where a front-end (trained DNN) estimates BN features that are subsequently modeled by a HMM/GMM.

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