Sentence examples for estimation are based from inspiring English sources
Current methods for contact resistance estimation are based on the typical nearly incompressible rough surfaces, which is not suitable for porous material with large deformation in the compression process.
Studies regarding smart antenna modeling, adaptive beam forming, and DOA estimation are based on the neural network solution [7-14].
The pulse detection and TOA estimation are based on the GLRT detector, using the likelihood ratio of the TOA distribution.
This is partially due to the setup used because both the matching score computation and EV estimation are based on image features.
Other methods for DOA estimation are based on blind channel identification, such as the adaptive eigenvalue decomposition algorithm (AEDA) [9],[10], or subspace methods such as multiple signal classification (MUSIC) [11].
In our method, the weighting functions used for CRF estimation are based on an identity CRF (recall the chicken-and-egg problem mentioned in Section "Dealing with unknown camera model parameters").
The factor analysis estimation was based upon weighted least-squares estimates using a diagonal weight matrix.
Sample size estimation was based on previously published papers from our research group reporting iron and CBD effects on biochemical parameters measured using western blot and ELISA13,30.
This estimation is based on C-α positions; therefore, the atomic details of the model (for example, the conformations of the side chains) should be treated with caution.
