Sentence examples for based on linear combination from inspiring English sources
The functions are based on linear combination of polynomials (herein B-splines are used).
The cooperative spectrum sensing in [4] is based on linear combination of local statistics from individual CRs.
On the other hand, T av and T a have the same p fa as these two detectors are based on linear combination of |W k)|2 which is i.i.d.. T or has a superior p fa than T p since these two detectors are related to each other by a non-linear Eq. (41).
A novel UWB pulse designing algorithm based on linear combination of different derivative functions of Gaussian pulses is proposed in [5], and the results suggested that it can achieve better BER performance and anti-jamming capability than the traditional Scholtz's monocycle.
A discriminant function based on linear combination of the expression of discriminant miRNAs was created for each classification step (PTCL/NOS vs AITL and PTCL/NOS vs ALCL/ALK−), to assign a discriminant score for each sample.
Population structure was further studied by performing a Discriminant Analysis of Principal Components (DAPC), a multivariate statistical method identifying clusters based on linear combinations of genotypes produced by principal component analysis (PCA 48.
An arbitrary-order discretization technique is based on linear combinations of non-centered and centered compact differencing operators ("multioperators") for fluids.
The discriminant analysis, a predictive model that generates a function based on linear combinations of the predictor variables, provided the best discrimination between controls with respect to the group of deteriorated patients.
Successive acquisitions of profiles obtained by translation of the NMR coil resulted in distorted images due to the presence of non-zero gradients perpendicular to the constant gradient that were successfully processed using a mathematical treatment based on linear combinations of calculated altered images from single-pixel objects.
We choose two methods based on linear combinations and the Mahalanobis distance to numerically confirm joint Gaussianity.
Performing differences between these pairs of variates allows then to consider a change detection analysis based on linear combinations of the original variables, ordered by correlation (similarity) between pairs [12].
