Sentence examples for matrices constructed using from inspiring English sources

The desired system, that is the system having the property that its output is exactly equal to the desired sequence (vec{x}^ left( t right)), is of the form: A^{d} left( q right)vec{x}^ left( t right) = K^{d} left( q right)overrightarrow {{u_{c} }} left( t right) (11 where (A^{d}, K^{d}) are 2 × 2 polynomial matrices constructed using an appropriate symbolic algorithm.

Genetic relationship matrices, constructed using genome-wide SNP markers, were fitted using a GBLUP approach to estimate nonadditive genetic variation.

We also estimated the heritability of the 213 traits examined using separate male and female kinship matrices constructed using the autosomal 60 K SNP genotype data (see Methods section).

For the weight matrices/energy matrices used in the study, see Additional file 1, Additional file 2, Additional file 3 and Additional file 4. The energy matrices constructed using each of the methods allows one to assign an estimated binding energy to a given site.

The second procedure incorporates a basis matrix constructed using snapshots from a simulation with equal phase densities.

However, in the aforementioned two literatures, the sparsifying matrix constructed using the impulse response for voiced speech is impractical for its dependence on the currently reconstructed signal itself.

A relationship matrix constructed using all markers without trait-specific weighting is equivalent to the G matrix in GBLUP, the so-called realized relationship matrix, and is identical for all traits.

Here, the random effects arise from a spatial Gaussian process with a covariance matrix constructed using an exponential spatial correlation function.

To control relatedness, individuals that were outliers of the first three principal components computed from the identity-by-state matrix constructed using GenABEL were removed.

We explored the variance explained by a similarity matrix constructed using the values of predicted latitude and longitude (i.e., the values in the matrix represent "genomic" proximity between individuals).

The model fitted was y = W b + Zg + e, where terms were the same as above, and g is a vector of random effects, assumed distributed N 0, G σ g 2, where G is a genomic relationship matrix, constructed using the rules of [ 33].