Zobrazeno 1 - 10
of 1 811
pro vyhledávání: '"joint source channel coding"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Effectively compressing transmitted images and reducing the distortion of reconstructed images are challenges in image semantic communication. This paper proposes a novel image semantic communication model that integrates a dynamic decision
Externí odkaz:
https://doaj.org/article/fadbe02705954d65a9331086d04a21a9
Autor:
Buvarp, Anders Martin
The concepts of a digital twin and extended reality have recently emerged, which require a massive amount of sensor data to be transmitted with low latency and high reliability. For low-latency communications, joint source-channel coding (JSCC) is an
Externí odkaz:
https://hdl.handle.net/10919/117352
Publikováno v:
Sensors, Vol 24, Iss 12, p 4005 (2024)
Joint source–channel coding (JSCC) based on deep learning has shown significant advancements in image transmission tasks. However, previous channel-adaptive JSCC methods often rely on the signal-to-noise ratio (SNR) of the current channel for encod
Externí odkaz:
https://doaj.org/article/52cb814c99cd4250b9cade2446492d34
Publikováno v:
Sensors, Vol 24, Iss 10, p 3169 (2024)
We consider the problem of learned speech transmission. Existing methods have exploited joint source–channel coding (JSCC) to encode speech directly to transmitted symbols to improve the robustness over noisy channels. However, the fundamental limi
Externí odkaz:
https://doaj.org/article/412e000fc00c402ba30fbf11daec2250
Publikováno v:
IEEE Access, Vol 11, Pp 93619-93634 (2023)
Joint Source-Channel Coding (JSCC) is a powerful technique that allows for the efficient transmission of information by simultaneously considering the characteristics of both the source and the channel. The recently proposed Exponential Golomb Error
Externí odkaz:
https://doaj.org/article/cf48a9efc67e4ff69737f9632ca67845
Autor:
Yunxiang Yao, Wai Ho Mow
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 4, Pp 1350-1370 (2023)
Index assignment (IA) is a low-complexity joint source-channel coding technique that has the potential for use in low-latency and low-power applications, such as wireless sensor networks (WSNs). Though binary IA has been extensively studied for assig
Externí odkaz:
https://doaj.org/article/5233bca766934af09c8282773f06adc6
Publikováno v:
Automatika, Vol 63, Iss 4, Pp 779-784 (2022)
This paper investigates a new communication system where two nodes want to disseminate highly correlated contents to a single destination and can be applied for densely deployed wireless sensors networks applications. Motivated by their capacity-achi
Externí odkaz:
https://doaj.org/article/3e54acc4c5644a07936aaa6c9528d0a0
Publikováno v:
Sensors, Vol 24, Iss 3, p 957 (2024)
Wireless Sensor Networks (WSNs) have emerged as an efficient solution for numerous real-time applications, attributable to their compactness, cost-effectiveness, and ease of deployment. The rapid advancement of 5G technology and mobile edge computing
Externí odkaz:
https://doaj.org/article/1e2b1085912e4f4f8a08633d3a5d0fec
Publikováno v:
Entropy, Vol 26, Iss 2, p 102 (2024)
In recent years, semantic communication has received significant attention from both academia and industry, driven by the growing demands for ultra-low latency and high-throughput capabilities in emerging intelligent services. Nonetheless, a comprehe
Externí odkaz:
https://doaj.org/article/8c7b847d659e497784edde2646100547
Autor:
Omri Lev, Anatoly Khina
Publikováno v:
Entropy, Vol 25, Iss 11, p 1522 (2023)
We consider the problem of transmitting a Gaussian source with minimum mean square error distortion over an infinite-bandwidth additive white Gaussian noise channel with an unknown noise level and under an input energy constraint. We construct a univ
Externí odkaz:
https://doaj.org/article/913f76f5d3b24b57b5718a2dcb3b5fa5