IEEE

Knowledge Embedded Convolutional Transformer Hybrid Network for Automatic Modulation Classification

Abstract: Deep learning (DL)-based automatic modulation classification (AMC) exhibits substantial potential to improve signal processing accuracy and efficiency in intelligent communication systems.
Electronic Design

Advanced Modulation Techniques: The Key to Improved Power Density?

Doing more with less in electronics often means improving power density. One of the new areas garnering attention involves applying a variety of advanced modulation techniques, including PWM and space ...
eLife

Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition

van Vliet and colleagues present results of a study correlating internal states of a convolutional neural network trained on visual word stimuli with evoked MEG potentials during reading. In this ...
C&EN

Phase Modulation of 2D Semiconducting GaTe from Hexagonal to Monoclinic through Layer Thickness Control and Strain Engineering

Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China School of Materials Science and Engineering, Peking University, Beijing 100871, People’s ...
eLife

Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition

Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, United ...
Frontiers

Modulation recognition method based on multimodal features

Introduction: Automatic modulation recognition (AMR) plays a crucial role in modern communication systems for efficient signal processing and monitoring. However, existing modulation recognition ...
IEEE

A High Resolution Convolutional Neural Network with Squeeze and Excitation Module for Automatic Modulation Classification

Abstract: Automatic modulation classification (AMC) technology is one of the cutting-edge technologies in cognitive radio communications. AMC based on deep learning has recently attracted much ...
GitHub

README.md

Abstract: Recent researches have shown that the success of Transformers comes from their macro-level framework and advanced components, not just their self-attention (SA) mechanism. Comparable results ...
Semiconductor Engineering

PAM4: Pulse Amplitude Modulation Explained

Emerging, data-intensive technologies like artificial intelligence and machine learning are gaining popularity. Data centers, which act as the essential infrastructure for these technologies, need to ...
marktechpost

Microscopic-Mamba Released: A Groundbreaking Hybrid Model Combining Convolutional Neural Network CNNs and SSMs for Efficient and Accurate Medical Microscopic Image Classification

Microscopic imaging is crucial in modern medicine as an indispensable tool for researchers and clinicians. This imaging technology allows detailed examination of biological structures at the cellular ...