Abstract: Convolution is fundamental in digital signal processing across many applications. Existing works enable N-point linear convolution via N-point right-angle circular convolution (RCC) based on ...

Abstract: Fast Fourier Transformation (FFT) has been widely recognized as an effective method for reducing the computational density of convolutional neural networks (CNNs). However, existing ...

Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for the ...

When looking at the code you might realize there's a similarity to the autocorrelation / cross correlation demo app. :) Please be aware that you need Matlab and its Symbolic Math Toolbox (mainly for ...

This study was performed by Professor Xue-Qiang Wang’s research group at Hunan University. Aptamers, known as ̒chemical antibodies̕, can specifically recognize various targets. Therefore, they are ...

Recently, we propose a new basic operation position aware global circular convolution (ParC). Differing from previous convolution operations, the proposed ParC has global receptive field. Experimental ...

ABSTRACT: The convolution of two rational transfer functions is also rational, but a formula for the convolution has never been derived. This paper introduces a formula for the convolution of two ...