GC-L6.4

IMPROVING DATA-DRIVEN RF SIGNAL SEPARATION WITH SOI-MATCHED AUTOENCODERS

Lukas Henneke, Fraunhofer FKIE, Germany
Session:
GC-L6: The RF Signal Separation Challenge Lecture
Track:
Grand Challenges
Location:
Room 209B
Presentation Time:
Thu, 18 Apr, 09:20 - 09:40 (UTC +9)
Session Chair:
Gary Lee, Massachusetts Institute of Technology, Cambridge, MA, US
Presentation
Discussion
Resources
No resources available.
Session GC-L6
GC-L6.1: The Data-Driven Radio Frequency Signal Separation Challenge
Tejas Jayashankar, Massachusetts Institute of Technology, United States of America; Benoy Kurien, MIT Lincoln Laboratories, United States of America; Alejandro Lancho, Universidad Carlos III de Madrid, Spain; Gary Lee, Institute for Infocomm Research, Singapore; Yury Polyanskiy, Amir Weiss, Gregory Wornell, Massachusetts Institute of Technology, United States of America
GC-L6.2: A Novel Approach to WaveNet Architecture for RF Signal Separation with Learnable Dilation and Data Augmentation
Yu Tian, Ahmed Alhammadi, Technology Innovation Institute, United Arab Emirates; Abdullah Quran, Abubakar Sani Ali, Khalifa University, United Arab Emirates
GC-L6.3: SIGNAL SEPARATION IN RADIO SPECTRUM USING SELF-ATTENTION MECHANISM
Fadli Damara, Technical University of Berlin, Germany; Zoran Utkovski, Slawomir Stanczak, Fraunhofer Heinrich Hertz Institute, Germany
GC-L6.4: IMPROVING DATA-DRIVEN RF SIGNAL SEPARATION WITH SOI-MATCHED AUTOENCODERS
Lukas Henneke, Fraunhofer FKIE, Germany
GC-L6.5: DEMUCS for Data-Driven RF Signal Denoising
Çağkan Yapar, Fabian Jaensch, Jan Christian Hauffen, TU Berlin, Germany; Francesco Pezone, Sapienza University of Rome, Italy; Peter Jung, TU Berlin, DLR, Germany; Saeid Khalili Dehkordi, Giuseppe Caire, TU Berlin, Germany
GC-L6.6: A U-NET ARCHITECTURE FOR TIME-FREQUENCY INTERFERENCE SIGNAL SEPARATION OF RF WAVEFORMS
Mostafa Naseri, Jaron Fontaine, Ingrid Moerman, Eli De Poorter,, Adnan Shahid, IDLab, Department of Information Technology at Ghent University - imec, Belgium
Contacts