ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.12931
  4. Cited By
Removing Radio Frequency Interference from Auroral Kilometric Radiation
  with Stacked Autoencoders

Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked Autoencoders

24 October 2022
Allen Chang
M. Knapp
J. Labelle
J. Swoboda
R. Volz
P. Erickson
ArXivPDFHTML

Papers citing "Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked Autoencoders"

2 / 2 papers shown
Title
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency
  interference -- Application to pulsar observations
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference -- Application to pulsar observations
Xiao Zhang
I. Cognard
Nicolas Dobigeon
20
1
0
21 Feb 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,503
0
11 Nov 2021
1