Hierarchical Signal Fusion Network for Pulsar Detection with Phase-Correlation and Signal Attentions
Author:
Affiliation:
1. School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University,China
Funder
Tencent
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747382.pdf?arnumber=9747382
Reference23 articles.
1. Pulsar candidate identification using semi-supervised generative adversarial networks;balakrishnan;Monthly Notices of the Royal Astronomical Society,2021
2. Pulsar candidate identification with artificial intelligence techniques;guo;arXiv preprint arXiv 1711 11575,2017
3. A Method for Weak Pulsar Signal Detection Combining the Bispectrum and a Deep Convolutional Neural Network
4. Imbalanced Ensemble Learning for Enhanced Pulsar Identification
5. Wide-bandwidth drift-scan pulsar surveys of globular clusters:application to early science observations with fast;pei wang;Research in Astronomy and Astrophysics,2016
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1. Search for Gravitational Wave Probes - A Self-Supervised Learning for Pulsars Based on Signal Contexts;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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