14 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…
Shaojing Su, Jing Zhou, Zhiping Huang, Chunwu Liu + 1 more
This paper gives a solution to the blind parameter identification of a convolutional encoder. The problem can be addressed in the context of the noncooperative communications or adaptive coding and modulations (ACM) for cognitive radio networks. We consider an intelligent communication receiver which can blindly…
Kevin D Volkel, Paul W Hook, Albert Keung, Winston Timp + 2 more
HEDGES was originally described with hard decoding, so we extend it to support soft decoding. Since it is a convolutional code, we construct a full trellis to represent its decoding steps. A trellis for HEDGES must have a width of at least $2H$ states for H history bits. Traditionally, each state has two outgoing edges…
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…
Michael Hersche, Stefan Lippuner, Matthias Korb, Luca Benini + 1 more
'Abbas Rahimi'] Brain-inspired high-dimensional (HD) computing represents and manipulates data using very long, random vectors with dimensionality in the thousands. This representation provides great robustness for various classification tasks where classifiers operate at low signal-to-noise ratio (SNR) conditions.…
Jiahui Meng, Danfeng Zhao, Hai Tian, Liang Zhang
In order to improve the performance of non-binary low-density parity check codes (LDPC) hard decision decoding algorithm and to reduce the complexity of decoding, a sum of the magnitude for hard decision decoding algorithm based on loop update detection is proposed. This will also ensure the reliability, stability and…
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…
Lin Sun, Haisen Li, Jingjing Wang, Chi-Wai Chow
This paper proposes using direct adaptation (DA)-based turbo equalization in multiple-input-multiple-output (MIMO) filtered multitone (FMT) time reversal (TR) acoustic communications to jointly suppress noise, residual co-channel interference (CCI) and intersymbol interference (ISI) after the TR process. Soft…
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…
Bin Chen, Yi Lei, Gabriele Liga, Chigo Okonkwo + 1 more
Coded modulation (CM), a combination of forward error correction (FEC) and high order modulation formats, has become a key part of modern optical communication systems. Designing CM schemes with strict complexity requirements for optical communications (e.g., data center interconnects) is still challenging mainly…
Ralf R. Müller, Benjamin M. Zaidel, Ori Shental
In 2017, Polyanskiy showed that the trade-off between power and bandwidth efficiency for massive Gaussian random access is governed by two fundamentally different regimes: low power and high power. For both regimes, tight performance bounds were found by Zadik et al., in 2019. This work utilizes recent results on the…
Xianqing Chen, Lenan Wu
The extended binary phase shift keying (EBPSK) is an efficient modulation technique, and a special impacting filter (SIF) is used in its demodulator to improve the bit error rate (BER) performance. However, the conventional threshold decision cannot achieve the optimum performance, and the SIF brings more difficulty in…
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…