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 ...
Aging and Cardiovascular Discovery Center (C.G., M.C., V.M., C.B., D.J., C.T., Z.C., M.T., A.K.R., V.N.S.G., R.K.), Lewis Katz School of Medicine, Temple University ...
ABSTRACT: Based on complex variable theory, this study investigates the scattering of SH-waves by a circular inclusion in exponentially inhomogeneous media with nanoscale-dependent density and modulus ...
A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...
Circular functions, primarily sine and cosine, are fundamental to understanding how waves—such as sound and electrical signals—are mathematically modeled and manipulated. These periodic functions have ...
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 ...
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 ...
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