Sentence examples for procedure that estimates from inspiring English sources
The composite signal of the two sources is separated by applying a soft mask, generated by an estimation-maximization (EM) procedure that estimates the contribution of each source at each time-frequency bin.
This hypothesis has been tested using bootstraping [ 29, 30], which is a resampling procedure that estimates the properties of an estimator (such as its variance) by sampling from an approximating empirical distribution.
A procedure that estimates penetration into the ship bottom based on knowledge of the resistance versus penetration relationship is also presented.
We also present an observation-based dead reckoning procedure that estimates vehicle motion in place of odometry and does not require a kinematic vehicle model.
To handle any type of data structure, the detection step is performed by a nonparametric bootstrapping procedure that estimates a probability distribution, according to which the existence of process shifts is determined.
The two approaches include: 1) a scene-based internal calibration (TSEB-IC) procedure that estimates air temperature over a well-watered and fully vegetated pixel in the LST image, and 2) a disaggregation scheme (DisALEXI) that uses air temperature estimates from a time-differential coupled TSEB-atmospheric boundary layer model of atmosphere land exchange (ALEXI).
Unfortunately the effect of spot-localized contaminant emission cannot be corrected in commercial scanner microarray data using standard background correction procedures that estimate background signal for a spot from the signal around the spot and thus it leads to errors in the calculated expression ratios (R/G).
The second relies on a simple on-line recursive procedure that reliably estimates amplitude thresholds for outlier detection.
The inference of results is carried out with a novel optimization procedure that generates estimates of the maxima of the posterior distribution combining concepts from Gibbs and slice sampling.
This model selection step is a cluster-inference procedure that yields estimates for(τ kj, μ kj,Σ kj, G k ), from which classification of test samples proceeds as before using the maximum probability criterion.
In order to assess the longitudinal response to treatment the generalized estimation equation was used to analyze the probability of being healed at months 1 and 2. This is a longitudinal statistical procedure that provides estimates for mixed-effects regression models for longitudinal dichotomous data [ 50].
