15 papers · ranked by Valyu relevance
Jingjian Li, Wei Wang, Hong Mo, Mengting Zhao + 3 more
'Derya Malak' 'Song-Nam Hong'] A distributed arithmetic coding algorithm based on source symbol purging and using the context model is proposed to solve the asymmetric Slepian-Wolf problem. The proposed scheme is to make better use of both the correlation between adjacent symbols in the source sequence and the…
Farhad Shirani, S. Sandeep Pradhan
In this work, lossy distributed compression of a pair of correlated sources is considered. Conventionally, Shannon's random coding arguments — using randomly generated unstructured codebooks whose blocklength is taken to be asymptotically large — are used to derive achievability results. However, in some multi-terminal…
Samar Agnihotri, Rajesh Venkatachalapathy
We consider a worst-case asymmetric distributed source coding problem where an information sink communicates with N correlated information sources to gather their data. A data-vector x = (x1, . . . , xN ) ∼ P is derived from a discrete and finite joint probability distribution P = p(x1, . . . , xN ) and component xi is…
Kumar Viswanatha, Sharadh Ramaswamy, Ankur Saxena, Emrah Akyol + 1 more
'Kenneth Rose'] This paper considers the problem of distributed source coding for a large network. A major obstacle that poses an existential threat to practical deployment of conventional approaches to distributed coding is the exponential growth of the decoder complexity with the number of sources and the encoding…
Metin Aktas, Murat Kuscu, Ergin Dinc, Ozgur B. Akan + 1 more
'Kim-Kwang Raymond Choo'] Spatial correlation between densely deployed sensor nodes in a wireless sensor network (WSN) can be exploited to reduce the power consumption through a proper source coding mechanism such as distributed source coding (DSC). In this paper, we propose the Decoding Delay-based Distributed Source…
Xuqi Zhu, Yu Liu, Lin Zhang
Considering the fact that sensors are energy-limited and the wireless channel conditions in wireless sensor networks, there is an urgent need for a low-complexity coding method with high compression ratio and noise-resisted features. This paper reviews the progress made in distributed joint source-channel coding which…
Jiancheng Tang, Qianqian Yang, Kai Niu, Meixia Tao + 1 more
Motivated by task-oriented semantic communication and distributed learning systems, this paper studies a distributed indirect source coding problem where M correlated sources are independently encoded for a central decoder. The decoder has access to correlated side information in addition to the messages received from…
Ezgi Özyılkan, Elza Erkip
Recent Advances Authors: ['Ezgi Özyılkan' 'Elza Erkip'] Abstract—Many applications from camera arrays to sensor networks require efficient compression and processing of correlated data, which in general is collected in a distributed fashion. While information-theoretic foundations of distributed compression are well…
Yizhong Wang, Li Xie, Siyao Zhou, Mengzhen Wang + 1 more
Consider a symmetric multivariate Gaussian source with ℓ components, which are corrupted by independent and identically distributed Gaussian noises; these noisy components are compressed at a certain rate, and the compressed version is leveraged to reconstruct the source subject to a mean squared error distortion…
Sixian Wang, Ke Yang, Jincheng Dai, Kai Niu
We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common receiver. In particular, we consider a pair of images captured by two cameras with probably overlapping fields of view transmitted over…
Junwei Zhou, HaoYun Xiao, Jianwen Xi, Qiuzhen Lin
—Distributed Arithmetic Coding (DAC) has emerged as a feasible solution to the Slepian-Wolf problem, particularly in scenarios with non-stationary sources and for data sequences with lengths ranging from small to medium. Due to the inherent decoding ambiguity in DAC, the number of candidate paths grows exponentially…
Jia Lu, Ryan Tsoi, Nan Luo, Yuanchi Ha + 8 more
Dynamical systems often generate distinct outputs according to different initial conditions, and one can infer the corresponding input configuration given an output. This property captures the essence of information encoding and decoding. Here, we demonstrate the use of self-organized patterns, combined with machine…
Chunli Zhao, Fengfan Yang, Daniel Kariuki Waweru, Chen Chen + 2 more
'Hongjun Xu' 'Floriano De Rango'] We present a well-known generalized Reed-Solomon (GRS) code incorporated with space-time block coded spatial modulation (STBC-SM) for wireless networks, which is capable of enjoying coded cooperation between the source and the relay. In the proposed distributed GRS-coded STBC-SM…
Fajia Sun, Long Qian
DNA has been pursued as a compelling medium for digital data storage during the past decade. While large-scale data storage and random access have been achieved in artificial DNA, the synthesis cost keeps hindering DNA data storage from popularizing into daily life. In this study, we proposed a more efficient paradigm…
Ibrahim Nawaz, Parv Agarwal, Thomas Heinis
DNA storage is a developing field that uses DNA to archive digital data owing to its superior information density and stability. Although DNA storage has been performed on a significant scale, challenges arise from the synthesis and sequencing of data-encoded oligonucleotides. Synthesis of DNA introduces significant…