Semantic Communications for Image Recovery and Classification via Deep Joint Source and Channel Coding

With the recent advancements in edge artificial intelligence (AI), future sixth-generation (6G) networks need to support new AI tasks such as classification and clustering apart from data recovery. Motivated by the success of deep learning, the semantic-aware and task-oriented communications with de...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on wireless communications Ročník 23; číslo 8; s. 8388 - 8404
Hlavní autoři:	Lyu, Zhonghao, Zhu, Guangxu, Xu, Jie, Ai, Bo, Cui, Shuguang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial intelligence Channel coding Classification Clustering Data mining Data recovery deep joint source and channel coding (JSCC) Deep learning Edge artificial intelligence (AI) Error reduction Feature extraction Image coding Image quality Labels Logic gates Machine learning Maximization Optimization semantic communications Semantics Task analysis task-oriented communications
ISSN:	1536-1276, 1558-2248
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!