Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...
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 ...
Abstract: This brief proposes a novel hardware structure for large integer multiplication in fully homomorphic encryption. We propose a method based on negative wrapped convolution to avoid zero ...
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 ...
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China. MTI band-stop filter as a “single channel”, followed by detection is relatively simple. When the ...
Peter Grünberg Institut (PGI-1) and Institute of Advanced Simulations (IAS-1), Forschungszentrum Jülich GmbH and JARA, Jülich 52425, Germany ...
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At the same time, we need to think carefully about how to use them and how to prevent their misuse. I oppose recent suggestions that we simply ban their development, but I support and participate in ...
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