23 papers · ranked by Valyu relevance
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…
Liyan Liang, Qian Zhang, Jie Zhou, Wenyu Li + 2 more
Steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) systems have been extensively researched over the past two decades, and multiple sets of standard datasets have been published and widely used. However, there are differences in sample distribution and collection equipment across…
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…
Zhicheng Liu, Liuquan Yao, Shuai Yuan, Guiying Yan + 5 more
'Yuting Liu' 'Yanlin Geng' 'Youlong Wu' 'Ling Liu'] In this paper, we propose the threshold successive cancellation flip (Th-SCF) decoding algorithm for polar codes, which enhances the performance of the SC decoder while maintaining low complexity. Theoretical analysis reveals that Th-SCF asymptotically delays the…
Aleksandar Minja, V. Šenk
—Some nonlinear codes, such as Kerdock and Preparata codes, can be represented as binary images under the Gray map of linear codes over rings. This paper introduces MAP decoding of Kerdock and Preparata codes by working with their quaternary representation (linear codes over Z4) with the complexity of O ( 2 log2 )…
Guanghui Zhang, Liren Lin, Bocong Chen
Twisted generalized Reed-Solomon (TGRS) codes were introduced to extend the algebraic capabilities of classical generalized Reed-Solomon (GRS) codes. This extension holds the potential for constructing new non-GRS maximum distance separable (MDS) codes and enhancing cryptographic security. It is known that TGRS codes…
Olena Shevchenko, Sofiia Yeremeieva, Brokoslaw Laschowski
Accurate neural decoding of brain dynamics remains a significant and open challenge in brain-machine interfaces. While various signal processing, feature extraction, and classification algorithms have been proposed, a systematic comparison of these is lacking. Accordingly, here we conducted one of the largest…
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…
Mikhail Kamenev
—Recursive list decoding of Reed-Muller (RM) codes, with moderate list size, is known to approach maximumlikelihood (ML) performance of short length (≤ 256) RM codes. Recursive decoding employs the Plotkin construction to split the original code into two shorter RM codes with different rates . In contrast to the…
Xiaojun Zhang, Yimeng Liu, Chengguan Chen, Hua Guo + 2 more
'Jerry D. Gibson'] The Belief Propagation (BP) algorithm has the advantages of high-speed decoding and low latency. To improve the block error rate (BLER) performance of the BP-based algorithm, the BP flipping algorithm was proposed. However, the BP flipping algorithm attempts numerous useless flippings for improving…
Tianshuo Yang
Let K be a field and Kn the n-dimensional K-vector space. A linear code C of length n over K is a subspace of Kn . Let v = - v1 . . . vn and w = - w1 . . . wn be two vectors in Kn . Recall the (Hamming) distance from v to w, denoted by d(v, w), is defined to be the number of positions at which v and w differ. The…
Hossein Rezaei, Nandana Rajatheva, Matti Latva‐aho
—Polar codes have received growing attention in the past decade and have been selected as the coding scheme for the control channel in the fifth generation (5G) wireless communication systems. However, the conventional polar codes have only been constructed by binary (2×2) kernel which poses block length limitation to…
Predrag Ivaniš, Srdjan Brkić, Bane Vasić, Syed A. Jafar
We propose a novel variant of the gradient descent bit-flipping (GDBF) algorithm for decoding low-density parity-check (LDPC) codes over the binary symmetric channel. The new bit-flipping rule is based on the reliability information passed from neighboring nodes in the corresponding Tanner graph. The name…
Mingkang Li, Ruixue Wang, Guihua Wan, Yuqi Yang + 1 more
Calcium imaging has gained extensive application in neural decoding tasks because of its high precision in observing cortical neural activity. Nevertheless, the immense data volume and complexity of automated signal extraction algorithms in calcium imaging result in significant delays in extracting neuronal calcium…
Nima Maleki, Hamid Karimi-Rouzbahani
Sensory neural coding, the brain’s process of transforming inputs into informative patterns of neural activity, generates complex and multiplexed neural codes which are hard to interpret. Although decoding methods have facilitated the interpretation of these codes, the specific features of neural activity that…
Thach V. Bui
Neural coding is an important tool to discover the inner workings of mind. In this work, we propose and consider a simple but novel self-decoding model for neural coding based on the principle that the neuron body represents ongoing stimulus while dendrites are used to store that stimulus as a memory. In particular…
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…
Tomasz Krokosz, Jarogniew Rykowski, Małgorzata Zajęcka, Robert Brzoza-Woch + 2 more
'Robert Brzoza-Woch' 'Leszek Rutkowski' 'Amitabh Mishra'] Modern, commonly used cryptosystems based on encryption keys require that the length of the stream of encrypted data is approximately the length of the key or longer. In practice, this approach unnecessarily complicates strong encryption of very short messages…
Ruihua Liu, Quan Zhou, Juanni Liu, Yi Zhang + 3 more
'Xuejiao Zhang' 'Amelia Carolina Sparavigna'] High security and effectiveness are critical performance metrics in the data transmission process for satellite remote sensing images, medical images, and so on. Previously, the receiver could gain a high-quality cover image (lossy) after decryption in a separable manner to…
Authors not listed
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…
Authors not listed
Electrospray ionization (ESI) mass spectrometry is an essential technique for chemical analysis in a range of fields. In ESI, analytes can produce multiple charge states, which must be correctly assigned for identification. Existing approaches to charge state assignment can suffer from limited accuracy and/or poor…
Authors not listed
The Hidden Subgroup Problem (HSP) unifies several landmark quantum algorithms, yet systematic exploration of its variants and modern applications has slowed. This paper revives HSP-based algorithm design by examining new group structures with direct relevance to post-quantum cryptography, lattice problems, and…
Aliye Hazal Koyuncu, Jacopo Movilli, Sevil Sahin, Dmitrii V. Kriukov + 2 more
This work describes a competing activation network, which is regulated by chemical feedback at the liquid-surface interface. Feedback loops dynamically tune the concentration of chemical components in living systems, thereby controlling regulatory processes in neural, genetic, and metabolic networks. Advances in…