Dec 1, 2022 · In this paper, we establish the connection between CNNs and signal modulation. From a signal modulation point of view, the forward-propagation process of CNNs ...
Dec 1, 2022 · In this paper, we establish the connection between CNNs and signal modulation. From a signal modulation point of view, the forward-propagation process of CNNs ...
Feb 21, 2023 · Convolutional Modulation Theory: A bridge between Convolutional Neural Networks and Signal Modulation. Theory, Neurocomputing (2022), doi ...
Although there have been a lot of researches on convolutional neural networks (CNNs), still what hap-pens in this black box remains a mystery.
From a signal modulation point of view, the forward-propagation process of CNNs can be explained as a process of modulating the input signals to the vicinity of ...
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Sep 19, 2023 · We conclude that the deep learning techniques that revolutionized models of object recognition can also create models of reading that can be ...
Convolutional Modulation Theory: A bridge between Convolutional Neural Networks and Signal Modulation Theory. Article. Sep 2022; NEUROCOMPUTING. Fuzhi Wu ...
May 2, 2024 · This survey provides a comprehensive summary and outlook on the development of skip connections in deep neural networks.
It is designed to significantly improve the recognition accuracy of modulation modes in low signal-to-noise ratio (SNR) environments. The model integrates the ...
Convolutional modulation theory: A bridge between convolutional neural networks and signal modulation theory · Computer Science, Engineering. Neurocomputing.