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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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Καββουσανός, Εμμανουήλ
Άλλοι συγγραφείς: Παλιουράς, Βασίλης
Μορφή: Thesis
Γλώσσα:English
Έκδοση: 2020
Θέματα:
Διαθέσιμο Online:http://hdl.handle.net/10889/13787

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