MO4.R4.1

Few-Shot Channel-Agnostic Analog Coding: A Near-Optimal Scheme

Mohammad Ali Maddah-Ali, Soheil Mohajer, University of Minnesota, United States
Session:
Joint Source-Channel Coding
Track:
10: Source Coding and Data Compression
Location:
Omikron II
Presentation Time:
Mon, 8 Jul, 16:25 - 16:45
Session Chair:
Neri Merhav, Technion - Israel Institute of Technology
Presentation
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Discussion
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Session MO4.R4
MO4.R4.1: Few-Shot Channel-Agnostic Analog Coding: A Near-Optimal Scheme
Mohammad Ali Maddah-Ali, Soheil Mohajer, University of Minnesota, United States
MO4.R4.2: One Shot Joint Source Channel Coding
Nir Elkayam, Meir Feder, Tel Aviv University, Israel
MO4.R4.3: Unequal Message Protection: One-Shot analysis via Poisson Matching Lemma
Ashish Khisti, University of Toronto & Qualcomm AI Research, Canada; Arash Behboodi, Gabriele Cesa, Pratik Kumar, Qualcomm AI Research, Netherlands
MO4.R4.4: Power-limited Modulation-Estimation with a Helper
Anatoly Khina, Tel Aviv University, Israel; Neri Merhav, Technion - Israel Institute of Technology, Israel
Resources
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