Sentence examples for direction for the estimation from inspiring English sources

This study is a first step to the same direction for the estimation of the environmental impacts of biorefinery products.

The gradient of the log-likelihood function, which is a vector of the first derivatives of Eq. 25, plays an important role in determining the direction for parameter estimation.

An additional interesting direction could address the estimation of identified model reliability for a new chemical compound.

We use a more realistic GARCH-based noise model in the maximum-likelihood approach for the estimation of direction-of-arrivals (DOAs) of impinging sources onto a linear array, and demonstrate using measured noise that this approach is feasible for the additive noise and direction finding in an underwater environment.

Within the last decade there has been a growing interest in developing techniques for the estimation of the direction of arrival (DOA) of wavefronts carrying wideband signals in order to locate the emitting sources.

In addition, the group of orthogonal weight vectors extracted by earlier several forward recursions spans the signal subspace, which ensures that the MSNWF algorithm is completed for the estimation of the direction of arrival and the reduced-rank adaptive filtering.

In particular, two efficient algorithms for the estimation of the directions of arrival of the electromagnetic waves scattered by the targets, namely the MUltiple SIgnal Classification and the Support Vector Regression, are considered and their performances are compared.

VelProbePE uses simplex optimization to calculate the intermediate parameters required for the estimation of velocity magnitude and direction.

In order to compare the array accuracy in different directions for AOA estimation applications, AOA will be investigated in the plane φ = 0°.

In our proposed algorithm, we empirically set Δnrow (Δncolumn) equal to five, namely carving out 5 seams in horizontal or vertical direction at each step for facilitating the estimation of the distortion degree.

In this direction, the parameter estimation for Ornstein-Uhlenbeck process driven by Brownian motions is well developed.