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For lossy image compression systems, we develop an algorithm, iterative refinement, to improve the decoder's reconstruction compared to standard decoding techniques. Specifically, we propose a recurrent neural network approach for…

Computer Vision and Pattern Recognition · Computer Science 2018-11-13 Alexander G. Ororbia , Ankur Mali , Jian Wu , Scott O'Connell , David Miller , C. Lee Giles

Adaptive link selection for buffer-aided relaying can achieve significant performance gain compared with the conventional relaying with fixed transmission criterion. However, most of the existing link-selection strategies are designed based…

Signal Processing · Electrical Eng. & Systems 2020-05-11 Mi Qian , Guofa Cai , Yi Fang , Guojun Han

This paper considers iterative detection and decoding on the concatenated communication channel consisting of a two-dimensional magnetic recording (TDMR) channel modeled by the four-grain rectangular discrete grain model (DGM) proposed by…

Information Theory · Computer Science 2014-01-24 Jiyang Yu , Michael Carosino , Krishnamoorthy Sivakumar , Benjamin J. Belzer , Yiming Chen

We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels. We consider the scenario in which images are transmitted progressively in layers over time or frequency, and such…

Information Theory · Computer Science 2021-06-15 David Burth Kurka , Deniz Gündüz

We consider the full-duplex two-way relay channel with direct link between two users and propose two coding schemes: a partial decode-forward scheme, and a combined decode-forward and compute-forward scheme. Both schemes use rate-splitting…

Information Theory · Computer Science 2011-08-19 Peng Zhong , Mai Vu

We introduce Noise Recycling, a method that enhances decoding performance of channels subject to correlated noise without joint decoding. The method can be used with any combination of codes, code-rates and decoding techniques. In the…

Information Theory · Computer Science 2020-10-16 Alejandro Cohen , Amit Solomon , Ken R. Duffy , Muriel Médard

This paper investigates distributed joint source-channel coding (JSCC) for correlated image semantic transmission over wireless channels. In this setup, correlated images at different transmitters are separately encoded and transmitted…

Information Theory · Computer Science 2025-03-28 Yufei Bo , Meixia Tao

Harmonic retrieval techniques are the foundation of radio channel sounding, estimation, and modeling. This paper introduces a Deep Learning approach for joint delay- and Doppler estimation from frequency and time samples of a radio channel…

Signal Processing · Electrical Eng. & Systems 2023-12-20 Steffen Schieler , Sebastian Semper , Reza Faramarzahangari , Michael Döbereiner , Christian Schneider , R. Thomä

The delay-Doppler (DD) domain modulation has been regarded as one of the most competitive candidates to support wireless communications for emerging high-mobility applications in the sixth-generation mobile networks. Unfortunately, most of…

Signal Processing · Electrical Eng. & Systems 2026-03-04 Xuehan Wang , Jintao Wang , Hai Lin , Jinhong Yuan , Xu Shi , Hengyu Zhang , Jian Song

We study the transmission of correlated sources over discrete memoryless (DM) multiple-access-relay channels (MARCs), in which both the relay and the destination have access to side information arbitrarily correlated with the sources. As…

Information Theory · Computer Science 2014-07-29 Yonathan Murin , Ron Dabora , Deniz Gündüz

We consider the problem of reliable communication over a discrete memoryless channel (DMC) with the help of a relay, termed the information bottleneck (IB) channel. There is no direct link between the source and the destination, and the…

Information Theory · Computer Science 2023-05-02 Michael Dikshtein , Nir Weinberger , Shlomo Shamai

In this paper, we investigate a joint source-channel encoding (JSCE) scheme in an intelligent reflecting surface (IRS)-assisted multi-user semantic communication system. Semantic encoding not only compresses redundant information, but also…

Signal Processing · Electrical Eng. & Systems 2025-04-11 Haidong Wang , Songhan Zhao , Lanhua Li , Bo Gu , Jing Xu , Shimin Gong , Jiawen Kang

This work deals with the decoding aspect of wireless network coding in the canonical two-way relay channel where two senders exchange messages via a common relay and they receive the mixture of two messages. One of the recent works on…

Information Theory · Computer Science 2010-12-30 Sunjoo Moon , Cong Ling

Dual function radar and communication (DFRC) is a promising research direction within integrated sensing and communication (ISAC), improving hardware and spectrum efficiency by merging sensing and communication (S&C) functionalities into a…

Information Theory · Computer Science 2024-08-30 Zhiyuan Yu , Hong Ren , Cunhua Pan , Gui Zhou , Ruizhe Wang , Mengyu Liu , Jiangzhou Wang

Dual functional radar and communication (DFRC) systems are a viable approach to extend the services of future communication systems. Most studies designing DFRC systems assume that the target direction is known. In our paper, we address a…

Signal Processing · Electrical Eng. & Systems 2024-12-11 Mateen Ashraf , Anna Gaydamaka , Dmitri Moltchanov , John Thompson , Mikko Valkama , Bo Tan

This work concerns minimizing the achievable distortion of a Gaussian source over a two-hop block fading channel under mean square-error criterion. It is assumed that there is not a direct link between transmission ends and the…

Information Theory · Computer Science 2016-05-31 Sayed Ali Khodam Hoseini , Soroush Akhlaghi , Mina Baghani

In this work, we propose a dynamic buffer-aided distributed space-time coding (DSTC) scheme for cooperative direct-sequence code-division multiple access systems. We first devise a relay selection algorithm that can automatically select the…

Information Theory · Computer Science 2016-08-17 J. Gu , R. C. de Lamare

It has been recognized that the impulsive noise (IN) generated by power devices poses significant challenges to wireless receivers. In this paper, we comprehensively assess the achievable information rate (AIR) for the well-established…

Information Theory · Computer Science 2026-03-16 Chin-Hung Chen , Boris Karanov , Wim van Houtom , Yan Wu , Alex Alvarado

Spatial coupling is utilized to improve the performance of iterative channel estimation, multiuser detection, and decoding for multiple-input multiple-input (MIMO) bit-interleaved coded modulation (BICM). Coupling is applied to both coding…

Information Theory · Computer Science 2014-12-22 Keigo Takeuchi

Finite-length codes are learned for the Gaussian wiretap channel in an end-to-end manner assuming that the communication parties are equipped with deep neural networks (DNNs), and communicate through binary phase-shift keying (BPSK)…

Machine Learning · Computer Science 2020-03-25 Alireza Nooraiepour , Sina Rezaei Aghdam