Abstract: Modern deep convolutional neural networks (CNNs) suffer from high computational complexity due to excessive convolution operations. Recently, fast convolution algorithms such as fast Fourier ...
Scientists around the world have been searching food, water and other environmental media for microplastics and for per- and ...
A differentiable fractional Fourier transform (FRFT) implementation with layers that can be trained end-to-end with the rest of the network. This package provides implementations of both fast ...
1 School of Statistics and Data Science, Zhejiang Gongshang University, Zhejiang, China 2 School of Mathematics and Statistics, Anhui Normal University, Anhui, China This repository provides the ...
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