Sentence examples for linear combination coefficient from inspiring English sources

Exact(2)

where a = (a1,…,a N ) is the linear combination coefficient vector.

where the linear combination coefficient b n s satisfy b n s = g kn θ ~ n s = θ k 0 θ ~ n s ≠ θ k (11).

Similar(58)

where a i, k u ∈ R are the linear combination coefficients specific to x i u and b k ∈ R d, k = 1, …, K are the basis functions.

where S is a T C×K dictionary matrix of K spectrograms of clean speech, while A is the K×N activation matrix holding the linear combination coefficients.

respectively, where the linear combination coefficients, (a_{1}^{ lm)}) and (a_{2}^{ lm)}), are given in (77) and (81), respectively, and the additive noise on each of the recovered symbols, (zeta _{1}^{(l)}) and (zeta _{2}^{(l)}), are given in (78) and (82), respectively.

We propose three methods for designing the linear combination coefficients: projection based on orthogonal polynomials, principal component analysis (PCA) based on the EIF matrix, and the quadratic form of the EIFs.

The indirect utility function specified for each individual vehicle model variant i of make j, denoted V ij, is specified as a linear combination of coefficients and explanatory variables: {V}_{ij}=sum_k{beta}_k{x}_{ij k}+{gamma}_j.

Therefore, although VTEC is represented by the linear combination of SH coefficients, the periodic features of SH coefficients might not be the same as those of VTEC values.

Stimulated by this problem, the authors [40] made use of the mathematical induction to establish eight identities which reveal the functions 1 / ( 1 − e ± t ) n and the derivatives ( 1 / ( e ± t − 1 ) ) ( k ) can be expressed by each other by linear combinations with coefficients involving the combinatorial numbers and Stirling numbers of the second kind.

Point estimates and confidence intervals (CIs) for the linear combinations of coefficients were computed after multiple regression with the significant product terms.

Linear combinations of coefficients were used to test three specific hypotheses about differences in response rates between: (i fasting versus non-fasting groups in dedicated clinics; (ii)reminder versus no reminder, for specimens collected at the pathology service at Parramatta only; (iii dedicated clinic versus pathology service.

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