Deep-learning-based forward-error-correction decoding techniques and optimizations for hardware implementation

In recent years, Deep-Learning has been adopted by a wide spectrum of applications, as it is a powerful problem-solving methodology which can be applied in extremely diverse fields. Various types of Artificial Neural Networks can be trained to perform a task with high accuracy. The effectiveness of...

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Bibliographic Details
Main Author: Καββουσανός, Εμμανουήλ
Other Authors: Παλιουράς, Βασίλης
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://hdl.handle.net/10889/13787