IEEE

Relative Transfer Function Identification Using Convolutive Transfer Function Approximation

Abstract: In this paper, we present a relative transfer function (RTF) identification method for speech sources in reverberant environments. The proposed method is based on the convolutive transfer ...
IEEE

Shape Deviation Generator—A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy

Abstract: The 3-D shape accuracy is a critical performance measure for products built via additive manufacturing (AM). With advances in computing and increased accessibility of AM product data, ...
Scientific Research Publishing

J. Humlicek, “Optimized Computation of the Voigt and Complex Probability Functions,” Journal of Quantitative Spectroscopy and Radiative Transfer, Vol. 27, No. 4, 1982, pp ...

ABSTRACT: The Voigt function is the convolution of a Lorentzian and a Guaussian density. The computation of these functions is required in several problems arising in a variety of physicochemical ...
Frontiers

Dynamic Response Calculation Algorithm for Floating Offshore Wind Turbines Based on a State-Space Method of Transfer Function

The Cummins equation is commonly applied to describe the motion of floating structures. Because of the convolution term, the efficiency of calculation is low and the ...
Frontiers

Accurate Tumor Segmentation via Octave Convolution Neural Network

Three-dimensional (3D) liver tumor segmentation from Computed Tomography (CT) images is a prerequisite for computer-aided diagnosis, treatment planning, and monitoring of liver cancer. Despite many ...
Europe PMC

N-Point Moving Average: A Special Generalized Transfer Function Method for Estimation of Central Aortic Blood Pressure.

N-point moving average (NPMA) is a simplified method of central aortic systolic pressure (CASP) estimation in comparison with the generalized transfer function (GTF). The fundamental difference or ...