Sentence examples for estimations since it from inspiring English sources

Notice that the cluster number is not a priori information for our CS-CS-based channel estimations, since it can be determined by the cluster identification process in step A. In order to ensure the accuracy of cluster identifications, the method proposed in [17] is adopted.

Care should be taken in drawing conclusions when DIF is found only for items 1 and 2. However, the presence of local dependencies is more problematic for parameter estimation since it may spuriously inflate the estimated item discriminations [ 68].

However, this is of little impact on the channel estimation since it is assumed that each sub-band is estimated independently.

Based on this concept, this paper uses eigenvector for time delay estimation since it can represent received speech signal most, accumulates the estimated DOA results, and uses adaptive -means++ for clustering the accumulated results.

The above solution can be also solved by the least-square estimation since it has the same form as stated in (2).

The presence of these dependency relationships among household members poses challenges for benefit estimation since it is unlikely that the conditions necessary for recovering the underlying individual preferences from household choices are satisfied in this setting.

The accurate estimation of the quaternion vector is critical for ultimate user heading estimation, since it may directly affect the acceleration signal extraction in the horizontal plane and the ultimate global walking direction extraction by PCA.

Setting of the presumed maximum one-way channel delay spread is closely related to the performance of TOA estimation since it directly determines which is included in the discrete signal model used to derive LS estimator.

This filter has been called the time averaged filter or window mean EWMA (WMEWMA) and has been recommended for link quality estimation since it offers a good trade-off between reaction time and stability [28].

This database was chosen for two reasons: (a) it provides tools to extract the location of packets lost, and (b) it enables a good visual representation of PLR estimation since it has a finer granularity of packet loss (i.e. sufficiently high number of packets per frame).

The value for γ0 was expected to be merely an order of magnitude estimation since it was derived from the relation between the decay time constant and the estimated buffer capacities in the one compartment model (equation 6) which does not take into account that extrusion depends on submembrane calcium concentrations.