First, authors elaborate the proposed unsupervised spectrum interpolation recovery method in aspect of principles and implementation. The received signals by spectrum managers contain several ...

In the work reported here, the authors use advanced deep learning algorithms to find a method of frame interpolation for coronary angiography videos that reduces the frequency of X-ray exposure by ...

Mathematics of Computation, Vol. 32, No. 141 (Jan., 1978), pp. 253-264 (12 pages) Shepard developed a scheme for interpolation to arbitrarily spaced discrete bivariate data. This scheme provides an ...

A novel algorithmic system that works subtly in the background to mutual benefit, and adapts quickly to local conditions, ...

Jose M. Montero, Beatriz Larraz, Interpolation Methods for Geographical Data:, The Journal of Real Estate Research, Vol. 33, No. 2 (April–June 2011), pp. 233-244 ...

The first method, no interpolation, is the fastest and results in the poorest image quality. The remaining three -- Linear, Cubic and Sinc -- produce increasingly higher quality images at the cost ...

An interpolated yield curve or "I curve" refers to a yield curve created using data on the yield and maturities of on-the-run Treasuries.