Sentence examples for projection generated by from inspiring English sources
Restricting the signal to a known finite time and frequency support, a closed convex set, the projection generated by the time-frequency transformation converges into a close approximation to the original signal.
Imposing time and frequency limitations in the DET permits us to reconstruct the signal iteratively, that is, the iterative projection generated by the time-frequency transformation converges into a close approximation to the original signal with the given Nonuniform samples.
The hydrological projections generated by an ensemble of posterior parameter sets are close to those associated with the optimal set.
Senator Dean Skelos, Republican of Nassau County, who vetoed the first capital budget as a member of the M.T.A.'s Capital Program Review Board, said that after looking at revenue projections generated by the M.T.A.'s consultants, he thought the plan was solid.
The optical observations are being used to help characterize the debris environment in LEO and GEO and to assist in the modeling projections generated by NASA.
Various geometric conditions onXare established which ensure that the Boolean algebra of projections generated by E and F is also bounded.
However, we also find that 55% of relevant experts' component-level cost projections are inconsistent with their total pack-level projections, and 55% of relevant experts' elicited cost projections are inconsistent with the cost projections generated by putting their design- and process-level assumptions into our process-based cost model (PBCM).
We simulate this by applying the RandomJ Poisson noise tool (built-in to Fiji) in additive mode with a mean of 0.5 to the sinogram (a composite image of all the projections) generated by the Radon transform tool, then reconstructing the image from the noised output.
Most figures on drug production are based on projections generated by decommissioned drug loads, which authorities believe represent only a fraction of what actually makes it across the border from Mexico to the US.
Out of the 4 projections generated by MDA, the first two dimensions account for most of the variations in the data set.
Given the success of the statistical models in reproducing present-day fire distributions, we then applied the models to estimate the change in future fire probabilities (PΔ) resulting from the A2 (mid-high emissions) and B1 (lower emissions) climate projections generated by the GFDL CM2.1 AOGCM.
