An End-to-End Scheme for Learning Over Compressed Data Transmitted Through a Noisy Channel

An End-to-End Scheme for Learning Over Compressed Data Transmitted Through a Noisy Channel

Within the emerging area of goal-oriented communications, this paper introduces a novel end-to-end transmission scheme dedicated to learning over a noisy channel, under the constraint that no prior training dataset is available. In this scheme, the transmitter makes use of powerful Spherical Harmoni...

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Bibliographic Details
Main Authors: Alireza Tasdighi, Elsa Dupraz
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Data transmission
source coding
machine learning
neural networks
clustering
classification
Online Access:https://ieeexplore.ieee.org/document/10024256/

Internet

https://ieeexplore.ieee.org/document/10024256/

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