18 papers · ranked by Valyu relevance
Yaping Xu, Lulu Ding, Shigang Wu, Jue Ruan
Composite DNA letters, by merging all four DNA nucleotides in specified ratios, offer a pathway to substantially increase the logical density of DNA digital storage (DDS) systems. However, these letters are susceptible to nucleotide errors and sampling bias, leading to a high letter error rate, which complicates…
Lulu Ding, Shigang Wu, Zhihao Hou, Alun Li + 4 more
'Weihua Pan' 'Jue Ruan'] Title: ABSTRACT Error-correcting codes (ECCs) employed in the state-of-the-art DNA digital storage (DDS) systems suffer from a trade-off between error-correcting capability and the proportion of redundancy. To address this issue, in this study, we introduce soft-decision decoding approach into…
Haoyu Li, Xuan Wang, Tong Liu, Dingyi Fang + 1 more
—The anti-interference capability of wireless links is a physical layer problem for edge computing. Although convolutional codes have inherent error correction potential due to the redundancy introduced in the data, the performance of the convolutional code is drastically degraded due to multipath effects on the…
Martin Bossert, Rebekka Schulz, Sebastian Bitzer
—The binary primitive BCH codes are cyclic and are constructed by choosing a subset of the cyclotomic cosets. Which subset is chosen determines the dimension, the minimum distance and the weight distribution of the BCH code. We construct possible BCH codes and determine their coderate, true minimum distance and the…
Lulu Ding, Kun Wang, Hongmei Zhang, Shaohui Xie + 5 more
DNA storage offers exceptional information density and archival longevity, but is constrained by the complex, heterogeneous errors inherent to synthesis, storage, and sequencing. Conventional error-correction schemes often rely on excessive logical redundancy to mitigate these biochemical imperfections, thereby…
Kevin D. Volkel, Paul W. Hook, Albert Keung, Winston Timp + 1 more
As nanopore technology reaches ever higher throughput and accuracy, it becomes an increasingly viable candidate for reading out DNA data storage. Nanopore sequencing offers considerable flexibility by allowing long reads, real-time signal analysis, and the ability to read both DNA and RNA. We need flexible and…
Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva, Hessam Mahdavifar + 2 more
'Hessam Mahdavifar' 'Sewoong Oh' 'Pramod Viswanath'] Abstract—Reed-Muller (RM) codes achieve the capacity of general binary-input memoryless symmetric channels and are conjectured to have a comparable performance to that of random codes in terms of scaling laws. However, such results are established assuming…
Jingze Che, Zhaoyang Zhang, Zhaohui Yang, Xiaoming Chen + 2 more
'Caijun Zhong' 'Derrick Wing Kwan Ng'] Abstract—The core requirement of massive Machine-Type Communication (mMTC) is to support reliable and fast access for an enormous number of machine-type devices (MTDs). In many practical applications, the base station (BS) only concerns the list of received messages instead of the…
Yan Yuan, Péter Scheepers, Lydia Tasiou, Yunus Can Gültekin + 2 more
Decoders Authors: ['Yan Yuan' 'Péter Scheepers' 'Lydia Tasiou' 'Yunus Can Gültekin' 'Federico Corradi' 'Alex Alvarado'] Abstract—This paper analyzes the design and competitiveness of four neural network (NN) architectures recently proposed as decoders for forward error correction (FEC) codes. We first consider the…
Xiao Yan, Yan Zhang, Xiaoxue Rao, Qian Wang + 4 more
'Yiyan Wu' 'Alvaro Araujo Pinto' 'Hacene Fouchal'] Cooperative automatic modulation classification (CAMC) using a swarm of sensors is intriguing nowadays as it would be much more robust than the conventional single-sensing-node automatic modulation classification (AMC) method. We propose a novel robust CAMC approach…
Johannes Bausch, Andrew W. Senior, Francisco J. H. Heras, Thomas Edlich + 14 more
'Thomas Edlich' 'Alex Davies' 'Michael Newman' 'Cody Jones' 'Kevin Satzinger' 'Murphy Yuezhen Niu' 'Sam Blackwell' 'George Holland' 'Dvir Kafri' 'Juan Atalaya' 'Craig Gidney' 'Demis Hassabis' 'Sergio Boixo' 'Hartmut Neven' 'Pushmeet Kohli'] Building a large-scale quantum computer requires effective strategies to…
Guoming Song, Dongming Pi, Shancheng Zhao, Chi Wan Sung
Product codes (PCs) are widely used in high-speed communication systems due to their attractive trade-off between error-correction performance and complexity. To further meet the rapidly growing demand for higher data rates, soft-aided hard-decision decoders (SA-HDDs) have been developed. In this paper, we present a…
Praveen Sai Bere, Mohammed Zafar Ali Khan
—Hard-decision decoding does not preserve the diversity order. This results in severe performance degradation in fading channels. In contrast, soft-decision decoding preserves the diversity order at an impractical computational complexity. For a linear block code C (n, k) of length n and dimension k, the complexity of…
Laura Marras, Maxime Verwoert, Maarten C. Ottenhoff, Sophocles Goulis + 8 more
Ideally, decisions are made based on prior knowledge, which allows for informed choices. Real life, however, often requires us to make decisions arbitrarily, without sufficient information. Decoding decision making processes from neural activity could allow for cognitive neuroprostheses and Brain-Computer Interfaces…
Binghui Shi, Yongpeng Wu, Yin Xu, Xiqi Gao + 2 more
'Wenjun Zhang'] Abstract—In this work, we propose the integration of GLDPC codes with short polar-like component codes, termed GLDPC codes with polar component codes (GLDPC-PC). This approach leverages the good distance properties of polar-like codes and mitigates their high decoding latency in long block lengths. A…
Sophia Gimple, Maxime Verwoert, Laura Marras, Paul Weger + 7 more
Decision-making is an essential cognitive function. It can be impaired due to a number of neurological and psychiatric disorders as well as external factors such as time pressure or stress. To assist users during decision-making, we propose a decision-making brain computer interface (BCI) that can alert to uninformed…
Ethan M. Meyers
Neural decoding is a powerful method to analyze neural activity. However, the code needed to run a decoding analysis can be complex, which can present a barrier to using the method. In this paper we introduce a package that makes it easy to perform decoding analyses in the R programing language. We describe how the…
Alireza Tasdighi, Mansoor Yousefi, Jun Chen
Weighted belief propagation (WBP) for the decoding of linear block codes is considered. In WBP, the Tanner graph of the code is unrolled with respect to the iterations of the belief propagation decoder. Then, weights are assigned to the edges of the resulting recurrent network and optimized offline using a training…