Sentence examples for by linear superposition of from inspiring English sources
A mixed function obtained by linear superposition of these factors is utilized to fit the bridge dynamic response.
The approximate solution is obtained by linear superposition of non-dimensional dynamic influence functions, and then boundary conditions are applied at the discrete points.
(D ) The integrated classifier detected nonlinear encoding of the unique combinations of temporal and spatial features that could not be accounted for by linear superposition of independent encoding.
In this respect, a physically relevant example is provided by the so-called Schrödinger cat states, that is by linear superpositions of two coherent states [4].
Once the appropriate impulse response function is known, the output of that system for any object intensity distribution can be determined by a linear superposition of impulse responses suitably weighted by the value of the intensity at each point in the object.
To emphasise the importance of nonlinear interactions, we tried to disambiguate the components of event-related potentials (ERPs) or event-related fields (ERFs) that can be explained by a linear superposition of trial-specific responses and those engendered nonlinearly (e.g., by phase-resetting).
This can be inferred by inspection of Eq. (3): the PA spectral amplitude is computed by the linear superposition of the pressure wavelets that each RBC emits when uniformly irradiated by a laser source.
The initial tsunami height is configured by a linear superposition of the unit sources.
As such, it can be approximated by a linear superposition of kernels (basis functions) (1).
Within each cell, the velocity potential is represented by the linear superposition of a complete set of harmonic polynomials, which are the elementary solutions of Laplace equation.
In short, we assume that the pseudo observation is represented by a linear superposition of the Green's functions from the unit sources, and estimate the weights of the unit sources (m) by this linear inversion.
