interpolation


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interpolation

 [in-ter″po-la´shun]
the determination of intermediate values in a series on the basis of observed values.

interpolation

/in·ter·po·la·tion/ (in-ter″po-la´shun) the determination of intermediate values in a series on the basis of observed values.

interpolation

[intur′pəlā′shən]
1 the transfer of tissues, as in plastic surgery or transplantation.
2 (in statistics) the introduction of an estimated intermediate value of a variable between known values.

in·ter·po·la·tion

(in-tĕrpŏ-lāshŭn)
Surgical excision of tissue from one site for transfer to another site.

interpolation

1. surgical transplantation of tissue.
2. use a range of values in order to determine the value of a function at a point within the range. See also extrapolation.
References in periodicals archive ?
Curvature interpolation method for image zooming," IEEE Trans.
Then, this information can be applied to form constraints for the interpolation process to ensure that the output DEM displays appropriate hydrogeomorphic properties (Hutchinson 1988, 1996, 2008).
The cubic spline function S(f) defined on interval [a, b] meets interpolation condition S([x.
Li and Orchard [9] proposed an edge-direct interpolation algorithm that estimates the local covariance coefficients estimates from a LR image and then use these estimates to adapt the interpolation at HR image based on the geometric duality between the LR and HR covariances.
However, in the regions between METAR sites, CVA produces an estimate of the conditions present using processing steps such as nearest-neighbor interpolation and, for ceiling, terrain height correction and satellite-based cloud masking.
How coordinates of knots are applied for interpolation and extrapolation?
n,n-1](z) can be computed by using the fundamental polynomials of Hermite interpolation (cf.
IDW interpolation method is used for mapping the drought indices of Carolinas (Rhee 2007).
In addition to the effects of interpolation, any filtering operation will further alter the data, and the effect of tandem interpolation plus filtering might be different depending on the order of operations.
In this paper all four discussed interpolation methods for subclasses of Kriging are analysed and compared to optimise the better prediction method for dataset in hand.
First, pixel p" located at (2m, 2n) is extracted, and the image interpolation is repeated to produce an image that is identical to the cover image.
Interpolation techniques are based on the principles of spatial autocorrelation, which assumes that closer points are more similar compared to farther ones.