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 ...
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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