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The Point Spread Function describes the shape of the image produced on the detector by a delta function (point) source.
Describes the shape of the image produced by a delta function (point) source on the detector, also known as "Point Response Function" (PRF).
In this paper, we show, however, that the usual approximation of the Green function by a delta function is adequate, except for extremely short bunch lengths.
The point spread function (PSF), also known as the point response function (PRF), describes the shape and size of the image produced by a delta function (a point) source.
In the middle resonances computed for a simple model of a circular quantum corral: scattering by a delta function of the form ( delta _{mathbb {S}^1}) where (mathbb {S}^1subset mathbb {R}^2) is the unit circle.
Technically speaking, a precise localization is achieved by multiplying |ψ7> by a delta function centered on the position corresponding to either the outcome 'up' or the outcome 'down' (see the entry on collapse theories, section 5 and Albert 1992, chapter 5); where the probability of each of these mutually exhaustive possibilities is ½.
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The regressors were established by convolving a delta function for the events or a box car for the blocks with the canonical hemodynamic response function as implemented in SPM5.
Trial-specific responses were modelled by convolving a delta function that indicated each event onset with a synthetic, canonical haemodynamic response function (HRF) to create regressors of interest.
At the first level, trial-specific responses were modeled for each subject by convolving a delta function that indicated each event onset with the canonical haemodynamic response function (HRF) to create regressors of interest, one regressor for each of the six event types described above.
To create regressors of interest, each condition was modelled by convolving a delta function at each trial onset (presentation of the anticipatory cue) and at each rating onset (presentation of the rating scale) with a canonical haemodynamic response function over the duration of the event (5.5 and 4 s, respectively).
At the first level, for each subject trial specific responses were modelled by convolving a delta function that indicated each event onset with the canonical haemodynamic response function to create regressors of interest, one regressor for each of the six event types (PR, PF, WR, WF, FR and FF).
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