Abstract: The application of deep learning improves the processing speed and the accuracy of automatic modulation recognition (AMR). As a result, it realizes intelligent spectrum management and ...
[ICCV 2025] Official implementation of Frequency-Dynamic Attention Modulation for Dense Prediction (paper link). FDAM revitalizes Vision Transformers by tackling frequency vanishing. It dynamically ...
ABSTRACT: We present a novel integrated mathematical and numerical framework for the nonlinear Schrödinger equation in open quantum systems under electromagnetic fields, with a particular focus on ...
Modulation recognition methods with real-valued deep network models fail to fully leverage the complex nature of in-phase/quadrature(I/Q) signals. Automatic modulation recognition based on ...
In general, CNN gives the same weight to all position information, which will limit the expression ability of the model. Distinguishing modulation types that are significantly affected by the ...
Abstract: Recent video recognition models utilize Transformer models for long-range spatio-temporal context modeling. Video transformer designs are based on self-attention that can model global ...
With the development of the Internet and microgrids technology, a single microgrid is no longer able to meet existing energy needs. In order to improve the reliability of large-scale power supply, sub ...
Abstract: This article presents a novel modulation scheme for device voltage stress mitigation and comprehensive analysis of the impact of transformer leakage inductance in a current-source ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results