Search · four archives
Search · four archives
18 papers · ranked by Valyu relevance
Tze-Yang Tung, David Burth Kurka, Mikołaj Jankowski, Denız Gündüz
—Recent works have shown that the task of wireless transmission of images can be learned with the use of machine learning techniques. Very promising results in end-to-end image quality, superior to popular digital schemes that utilize source and channel coding separation, have been demonstrated through the training of…
Mingyu Yang, Chenghong Bian, Hun-Seok Kim
—We investigate joint source channel coding (JSCC) for wireless image transmission over multipath fading channels. Inspired by recent works on deep learning based JSCC and model-based learning methods, we combine an autoencoder with orthogonal frequency division multiplexing (OFDM) to cope with multipath fading. The…
Selim F. Yilmaz, Can Karamanlı, Denız Gündüz
—We consider distributed image transmission over a noisy multiple access channel (MAC) using deep joint source-channel coding (DeepJSCC). It is known that Shannon's separation theorem holds when transmitting independent sources over a MAC in the asymptotic infinite block length regime. However, we are interested in the…
C. S. George Lee, Xiao Hu, Hun-Seok Kim
In this paper, we propose an iterative source error correction (ISEC) decoding scheme for deep-learning-based joint source-channel coding (Deep JSCC). Given a noisy codeword received through the channel, we use a Deep JSCC encoder and decoder pair to update the codeword iteratively to find a (modified) maximum…
Denız Gündüz, Michèle A. Wigger, Tze-Yang Tung, Ping Zhang + 1 more
Practical Designs Authors: ['Denız Gündüz' 'Michèle A. Wigger' 'Tze-Yang Tung' 'Ping Zhang' 'Yong Xiao'] Abstract—Semantic- and task-oriented communication has emerged as a promising approach to reducing the latency and bandwidth requirements of next-generation mobile networks by transmitting only the most relevant…
Avi Deb Raha, Apurba Adhikary, Mrityunjoy Gain, Yumin Park + 2 more
Avi Deb Raha 1 , Apurba Adhikary 1 , Mrityunjoy Gain 2 , Yumin Park 1 , Walid Saad 3 , and Choong Seon Hong1\* 1 Department of Computer Science and Engineering, Kyung Hee University, Yongin-si 17104, Republic of Korea 2 Department of Artificial Intelligence, Kyung Hee University, Yongin-si 17104, Republic of Korea 3…
Selim F. Yilmaz, Ezgi Özyılkan, Denız Gündüz, Elza Erkip
—We consider low-latency image transmission over a noisy wireless channel when correlated side information is present only at the receiver side (the Wyner-Ziv scenario). In particular, we are interested in developing practical schemes using a data-driven joint source-channel coding (JSCC) approach, which has been…
Hongjie Yuan, Weizhang Xu, Yuhuan Wang, Xingxing Wang + 4 more
'Hina Tabassum' 'Yuan Wu' 'Lian Zhao'] 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 encoding, which overlooks the neural…
Haotian Wu, Yulin Shao, Emre Özfatura, Krystian Mikolajczyk + 1 more
'Denız Gündüz'] Abstract—This paper presents a novel wireless image transmission paradigm that can exploit feedback from the receiver, called JSCCformer-f. We consider a block feedback channel model, where the transmitter receives noiseless/noisy channel output feedback after each block. The proposed scheme employs a…
Hao Wang, Wei Zhang, Yizhe Jing, Yanyan Chang + 5 more
'Raúl Alcaraz' 'Luca Faes' 'Leandro Pardo' 'Boris Ryabko'] An end-to-end joint source-channel (JSC) encoding matrix and a JSC decoding scheme using the proposed bit flipping check (BFC) algorithm and controversial variable node selection-based adaptive belief propagation (CVNS-ABP) decoding algorithm are presented to…
Li Deng, Zhiping Shi, Yixin Wang, Xiaoxi Yu + 4 more
'Zhiping Xu' 'Eduard Jorswieck' 'Lu Wei'] Joint source channel anytime coding (JSCAC) is a kind of joint source channel coding (JSCC) systems based on the causal spatially coupled coding and joint expanding window decoding (JEWD) techniques. JSCAC demonstrates greatly improved error correction performance, as well as…
Xueyan Niu, Bo Bai, Nian Guo, Weixi Zhang + 4 more
'Kai Niu' 'Youlong Wu'] Traditional rate-distortion (RD) theory examines the trade-off between the average length of the compressed representation of a source and the additive distortions of its reconstruction. The rate-distortion-perception (RDP) framework, which integrates the perceptual dimension into the RD…
Yijie Lv, Jiguang He, Weikai Xu, Lin Wang + 1 more
In this article, a graph-theoretic method (taking advantage of constraints among sets associated with the corresponding parity-check matrices) is applied for the construction of a double low-density parity-check (D-LDPC) code (also known as LDPC code pair) in a joint source-channel coding (JSCC) system. Specifically…
Zhiping Xu, Lin Wang, Shaohua Hong, Adam Lipowski
In this paper, a joint early stopping criterion based on cross entropy (CE), named joint CE criterion, is presented for double-protograph low-density parity-check (DP-LDPC) codes-based joint source-channel coding (JSCC) systems in images transmission to reduce the decoding complexity and decrease the decoding delay.…
Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao + 1 more
This study proposes a separate source-channel coding (SSCC) framework to address semantic communication challenges in MIMO systems, overcoming the limitations of joint source-channel coding (JSCC) in channel adaptation and model reusability. Traditional systems suffer from bit-level redundancy in 6G, while JSCC…
Hong Yang, Xiaoqing Zhu, Jia Yang, Ji Li + 5 more
'Pingyu Wang' 'Guanding Yu' 'Shengli Liu'] 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 the Internet of Things (IoT), Artificial Intelligence (AI), and…
Maximilian Gehri, Lukas Stelzl, Heinz Koeppl
Biochemical systems process signals through stochastic reaction dynamics that are inherently continuous in time and often exhibit memory, feedback, and nonequilibrium driving. At the same time, they are frequently modeled by effective reactions, e.g., multi-step processes such as transcription are treated as single…
Ganchao Wei, Daniela de Albuquerque, Miles Martinez, Shiyang Pan + 1 more
While neuroscience experiments have repeatedly demonstrated the involvement of large populations of neurons in even simple behaviors, these studies have just as often reported that the collective dynamics of neural activity are approximately low-dimensional. As a result, methods for identifying low-dimensional latent…