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My Asilomar 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
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Technical Program

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

MO2-1: Modulation

Session Type: Virtual
Time: Monday, November 2, 13:00 - 14:20
Location: Room 1
Session Chair: Giovanni Minelli, Naval Postgraduate School
 
  MO2-1-1: SPECTRAL CORRELATION FOR LEO SATELLITE SIGNAL PRESENCE DETECTION AND DOPPLER ESTIMATION
         Jonas Hofmann; Bundeswehr University Munich
         Andreas Knopp; Bundeswehr University Munich
         Chad Spooner; NorthWest Research Associates
         Giovanni Minelli; Naval Postgraduate School
         James Newman; Naval Postgraduate School
 
  MO2-1-2: OPTIMIZING CONVOLUTIONAL NEURAL NETWORKS TO IDENTIFY DISTORTED M-ARY CPFSK SIGNALS WITH RRC PULSE SHAPED INSTANTANEOUS FREQUENCY
         Ambaw Ambaw; George Washington University
         Mohammad Bari; T-Mobile, Headquarters
         Milos Doroslovacki; George Washington University
 
  MO2-1-3: OVER THE AIR PERFORMANCE OF DEEP LEARNING FOR MODULATION CLASSIFICATION ACROSS CHANNEL CONDITIONS
         Venkatesh Sathyanarayanan; UCSD
         Mark Wagner; UCSD
         Peter Gerstoft; UCSD
 
  MO2-1-4: ENHANCED AUTOMATIC MODULATION CLASSIFICATION USING DEEP CONVOLUTIONAL LATENT SPACE POOLING
         Clayton Harper; Darwin Deason Institute
         Lauren Lyons; Darwin Deason Institute
         Mitchell Thornton; Darwin Deason Institute
         Eric Larson; Darwin Deason Institute