Sentence examples similar to classical estimation methods from inspiring English sources

Classical motion estimation methods fail on sequences involving transparent effects since they do not explicitly model this phenomenon.

Recent evaluation processes include next to classical uncertainty estimation methods [7] also approaches for developing adaptive policies under uncertainty [8].

Comparisons are made in relation to time response and frequency response for the proposed method and four classical phasor estimation methods.

As a consequence, we propose using Bolasso for graphical modeling in large sample size cases as a real contender to the classical neighborhood estimation methods.

In contrast to the classical spectral estimation methods, such as periodogram and correlogram [ 39] that use fast Fourier transform (FFT), the frequency resolution of MUSIC is independent of the number of FFT points, which makes it a super-resolution method.

The classical SDE parameter estimation methods are largely based on likelihood estimation, which is computationally expensive.

Compared with the classical maximum-likelihood estimation methods, the proposed Bayesian/MCMC method results in better fitting Weibull models and is especially suitable for reliability modelling where only very limited failures are observed.

The parameters permeability and porosity are estimated with a classical least-squares estimation method for which an expression of the covariance matrix of the estimates is calculated.

We developed a mathematical model for four estimation methods: the classical Center of Gravity method (Anger Logic), an enhanced Center of Gravity method, a Mean Square Error fitting method and the Maximum Likelihood method.

The classical adaptive filtering algorithms are iterative estimation methods based on the point estimation theory [1].

Classical wideband direction-of-arrival (DOA) estimation methods include incoherent signal subspace method (ISSM) [1] and coherent signal subspace method (CSSM) [2 5].