Sentence examples for kernel convolution from inspiring English sources

We provide a fast calculation of the scale parameters utilizing a Gaussian kernel convolution.

This chapter discusses a classical computational kernel, convolution, which is used in many machine vision, statistics, and signal processing applications.

Diverse architectures have been presented for array based kernel convolution processing, many of which use analog processing elements to save space.

Very efficient kernel convolution mechanisms are used to evaluate entropy reduction for each sensor ray, and for each possible robot orientation, taking frontiers and obstacles into account.

Differing with Gaussian kernel convolution, our proposed algorithm takes advantage of the anisotropic of the curvelets; therefore there is no any edge blurring.

Of note, average absorbed doses determined with the LD method are in excellent agreement with those obtained using the MIRD and the kernel convolution dose calculation approach.

SK and SKD were calculated by convolving the total number of disintegrations with the kernel; convolutions were performed in IDL v8.2 (Exelis Visual Information Solutions).

Many of the recently introduced custom kernels are convolution kernels [ 17].

When compared to each other, LD, MIRD approach, and Kernel-convolution methods provided comparable absorbed doses with an average deviation within 6% (maximum deviation 12% on day 1).

Average absorbed doses determined with the local deposition method are in excellent agreement with those obtained using the MIRD and the kernel-convolution dose calculation approach.

The absorbed dose to the tumor cylindrical insert (Fig. 2k o) was calculated using different computational approaches, namely: I) Full MC using Raydose II) Kernel-convolution using Philips Stratos III Locall deposition (LD) algorithm IV) MC N-Particle code (MCNP4c), assuming uniform activity distribution V) MIRD analytical approach.