26 papers · ranked by Valyu relevance
Saikat Majumder, Shrish Verma
Cooperative communication using relay nodes is one of the most effective means of exploiting space diversity for low cost nodes in wireless network. In cooperative communication, users, besides communicating their own information, also relay the information of other users. In this paper we investigate a scheme where…
Zhiqiang Cui, Zhongfeng Wang, Xinmiao Zhang
Layered decoding is well appreciated in Low-Density Parity-Check (LDPC) decoder implementation since it can achieve effectively high decoding throughput with low computation complexity. This work, for the first time, addresses low complexity column-layered decoding schemes and VLSI architectures for multi-Gb/s…
Chunli Zhao, Fengfan Yang, Daniel Kariuki Waweru, Chen Chen + 2 more
'Hongjun Xu' 'Gwanggil Jeon'] We propose a distributed quasi-cyclic low-density parity-check (QC-LDPC) coded spatial modulation (D-QC-LDPCC-SM) scheme with source, relay and destination nodes. At the source and relay, two distinct QC-LDPC codes are used. The relay chooses partial source information bits for further…
Zuo Tang, Jing Lei, Ying Huang, Jun Chen
This paper focuses on the Low-Density Algebra-Check (LDAC) code, a novel low-rate channel code derived from the Low-Density Parity-Check (LDPC) code with expanded algebra-check constraints. A method for optimizing LDAC code design using Extrinsic Information Transfer (EXIT) charts is presented. Firstly, an iterative…
Jorge Ortín, Paloma García, F. Gutierrez, Antonio Valdovinos
— Turbo codes are well known to be one of the error correction techniques which achieve closer results to the Shannon limit. Nevertheless, the specific performance of the code highly depends on the particular decoding algorithm used at the receiver. In this sense, the election of the decoding algorithm involves a trade…
Xiao Ma, Chulong Liang, Kechao Huang, Qiutao Zhuang
A construction of big convolutional codes from short codes called block Markov superposition transmission (BMST) is proposed. The BMST is very similar to superposition block Markov encoding (SBME), which has been widely used to prove multiuser coding theorems. The encoding process of BMST can be as fast as that of the…
Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink
'Stephan ten Brink'] Abstract—We show that the performance of iterative belief propagation (BP) decoding of polar codes can be enhanced by decoding over different carefully chosen factor graph realizations. With a genie-aided stopping condition, it can achieve the successive cancellation list (SCL) decoding performance…
Lingjun Kong, Haiyang Liu, Yuezhuang Shi, Jiacheng Miao + 1 more
In modern communication systems, the concatenation of a low-density parity-check (LDPC) code with a cyclic redundancy check (CRC) code is commonly used for error correction. In this paper, we propose a low-complexity two-stage scheme for decoding these codes using their concatenation structures. In the first stage, the…
M. Revathy, R. Saravanan
Low-density parity-check (LDPC) codes have been implemented in latest digital video broadcasting, broadband wireless access (WiMax), and fourth generation of wireless standards. In this paper, we have proposed a high efficient low-density parity-check code (LDPC) decoder architecture for low power applications. This…
Zihui Yan, Guanjin Qu, Xin Chen, Gang Zheng + 1 more
DNA-based data storage is a promising solution to the challenges of large-scale data storage. However, the low throughput of the mainstream inkjet-based DNA synthesis method has hindered its widespread adoption. In contrast, high-throughput electrochemical synthesis provides higher throughput but with more nucleotide…
Christian Häger, Henry D. Pfister
Hard-decision forward error correction (HD-FEC) can offer dramatically reduced complexity compared to softdecision FEC, at the price of some performance loss. HD-FEC is used, for example, in regional/metro optical transport networks (OTNs) 1 and has also been considered for other cost-sensitive applications such as…
Nasru Minallah, Khadem Ullah, Jaroslav Frnda, Korhan Cengiz + 1 more
'Muhammad Awais Javed'] The reliable transmission of multimedia information that is coded through highly compression efficient encoders is a challenging task. This article presents the iterative convergence performance of IrRegular Convolutional Codes (IRCCs) with the aid of the multidimensional Sphere Packing (SP)…
Marcin Pery, Robert Waszkowski, Boris Ryabko
This study presents a detailed characterization of iterative steganography, a unique class of information-hiding techniques, and proposes a formal mathematical model for their description. A novel quantitative measure, the Incremental Information Function (IIF), is introduced to evaluate the process of information gain…
Robert M. Oliveira, Rodrigo C. de Lamare
Polar Codes Authors: ['Robert M. Oliveira' 'Rodrigo C. de Lamare'] In this paper, we present an adaptive reweighted sparse belief propagation (AR-SBP) decoder for polar codes. The AR-SBP technique is inspired by decoders that employ the sum-product algorithm for low-density parity-check codes. In particular, the AR-SBP…
Jingcheng Zhang, Lei Chen, Jinlin Sun, Shumin Li + 5 more
DNA has emerged as a compelling archival storage medium, offering unprecedented information density and millennia-scale durability. Despite its promise, DNA-based data storage faces critical challenges due to error-prone processes during DNA synthesis, storage, and sequencing. In this study, we introduce Gungnir, a…
Omer Sabary, Alexander Yucovich, Guy Shapira, Eitan Yaakobi
In the trace reconstruction problem a length-n string x yields a collection of noisy copies, called traces, y_1_, …, y_t_ where each y_i_ is independently obtained from x by passing through a deletion channel, which deletes every symbol with some fixed probability. The main goal under this paradigm is to determine the…
Yonghui Li, Qimin You, Soung Chang Liew, Branka Vucetic
In this paper, we revisit the forward, backward and bidirectional Bahl-Cocke-Jelinek-Raviv (BCJR) soft-input soft-output (SISO) maximum a posteriori probability (MAP) decoding process of rate-1 binary convolutional codes. From this we establish some interesting explicit relationships between encoding and decoding of…
Lippl Samuel, Peters Benjamin, Kriegeskorte Nikolaus
Recent work has suggested that feedforward residual neural networks (ResNets) approximate iterative recurrent computations. Iterative computations are useful in many domains, so they might provide good solutions for neural networks to learn. Here we quantify the degree to which ResNets learn iterative solutions and…
Reza Hadavian, Xiaoting Huang, Dmitri Truhachev, Kamal El‐Sankary + 2 more
'Hamid Ebrahimzad' 'Hossein Najafi'] Abstract—We introduce a novel universal soft-decision decoding algorithm for binary block codes called ordered reliability direct error pattern testing (ORDEPT). Our results, obtained for a variety of popular short high-rate codes, demonstrate that ORDEPT outperforms…
Zeyuan Ye, Haoran Li, Liang Tian, Changsong Zhou
Understanding how the brain preserves information despite intrinsic noise is a fundamental question in working memory. Typical working memory tasks consist of delay phase for maintaining information, and decoding phase for retrieving information. While previous works have focused on the delay neural dynamics, it is…
Beren Millidge, Mufeng Tang, Mahyar Osanlouy, Nicol S. Harper + 1 more
One of the key problems the brain faces is inferring the state of the world from a sequence of dynamically changing stimuli, and it is not yet clear how the sensory system achieves this task. A well-established computational framework for describing perceptual processes in the brain is provided by the theory of…
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…
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This research presents a novel approach to obstacle detection during navigation using a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. The primary objective is to generate accurate image captions that describe the content of images, which is crucial for applications such…
Daniele Fiorito, Selbi Keskin, Joseph Bateman, Malcolm George + 2 more
Bastimolide B is a polyhydroxy macrolide isolated from marine cyanobacteria displaying antimalarial activity. It features a dense array of hydroxylated stereogenic centers with 1,5-relationships along a hydrocarbon chain. These 1,5-polyols represent a particularly challenging motif for synthesis, as the remote position…
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Bottom-up coarse-graining enables efficient simulation of complex molecular systems at mesoscopic scales. Many methods capture structural features well but often overestimate pressure, as computed by the virial theorem, due to thermodynamic representability issues. This limits utility, particularly for studying…
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This paper presents a simplified model of iterative compound optimization in drug/agrochemical discovery. Compounds are represented as binary strings, with project evolution simulated through random bit changes. The model reproduces key statistical features of real projects, including activity distributions and…