Search · four archives
Search · four archives
21 papers · ranked by Valyu relevance
Ly, Hoang, Soljanin, Emina + 2 more
—Maximum-likelihood (ML) decoding for arbitrary block codes remains fundamentally hard, with worst-case time complexity—measured by the total number of multiplications—being no better than straightforward exhaustive search, which requires q k n operations for an [n, k] q code. This paper introduces a simple…
Marwan Jalaleddine, Jiajie Li, Syed Mohsin Abbas, Warren J. Gross
The high computational cost of approaching the performance of Maximum-likelihood (ML) decoding has limited its practical use for decades. Because the complexity grows exponentially with the message length, researchers have spent years developing algorithms like Ordered Statistics Decoding (OSD), Partial Ordered…
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…
Yunus Can Gültekin, Péter Scheepers, Yuncheng Yuan, Federico Corradi + 1 more
'Alex Alvarado'] Abstract—We investigate the design of two neural network (NN) architectures recently proposed as decoders for forward error correction: the so-called single-label NN (SLNN) and multilabel NN (MLNN) decoders. These decoders have been reported to achieve near-optimal codeword- and bit-wise performance…
Yoshinari Takeishi, Jun'ichi Takeuchi
SUMMARY It is known that sparse superposition codes asymptotically achieve the channel capacity over the additive white Gaussian noise channel with both maximum likelihood decoding and efficient decoding (Joseph and Barron in 2012, 2014). Takeishi et al. (in 2014, 2019) demonstrated that these codes can also…
Reza Rafie Borujeny, Susanna E. Rumsey, Stark C. Draper, Frank R. Kschischang
PAM Constellations Authors: ['Reza Rafie Borujeny' 'Susanna E. Rumsey' 'Stark C. Draper' 'Frank R. Kschischang'] Abstract—For applications in concatenated coding for optical communications systems, we examine the encoding and softdecoding of short spherical codes constructed as constant-energy shells of the Cartesian…
Xuechun Xu, Nayanika Bhalla, Patrik Ståhl, Joakim Jaldén
Basecalling long DNA sequences is a crucial step in nanopore-based DNA sequencing protocols. Recently the CTC-RNN model has become the leading basecalling model and has replaced prior hidden Markov models (HMMs) based on pre-segmentation of the ion current measurements. However, CTC-RNN relies entirely on the neural…
Ji Zhang, Anmin Chen, Ying Zhang, Baofeng Ji + 3 more
'Hengzhou Xu' 'Jun Chen'] The Alternating Direction Method of Multipliers (ADMM) has proven to be an efficient approach for implementing linear programming (LP) decoding of low-density parity-check (LDPC) codes. By introducing penalty terms into the LP decoding model’s objective function, ADMM-based variable node…
Tae-Kyoung Kim, Xianpeng Wang, Fangqing Wen, Liangtian Wan + 1 more
This study considers an improved likelihood probability in multi-input multi-output (MIMO) systems using one-bit analog-to-digital converters (ADCs). MIMO systems using one-bit ADCs are known to exhibit from performance degradation because of inaccurate likelihood probabilities. To overcome this degradation, the…
Tae-Kyoung Kim, Davy P. Gaillot
This study considers a detection scheme for cooperative multi-input-multi-output (MIMO) systems using one-bit analog-to-digital converters (ADCs) in a decode-and-forward (DF) relay protocol. The use of one-bit ADCs is a promising technique for reducing the power consumption, which is necessary for supporting future…
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…
Sean M. Perkins, Elom A. Amematsro, John P. Cunningham, Qi Wang + 1 more
Decoders for brain-computer interfaces (BCIs) assume constraints on neural activity, chosen to reflect scientific beliefs while yielding tractable computations. Recent scientific advances suggest that the true constraints on neural activity, especially its geometry, may be quite different from those assumed by most…
Mohamed Marey, Ahmed Sedik, Hala Mostafa, Hsiao-Chun Wu
A radio is adaptive if it can autonomously analyze the communications environment and instantly modify its settings to achieve the best possible efficiency. In orthogonal frequency division multiplexing (OFDM) transmissions, identifying the space frequency block coding (SFBC) category utilized is one of the most…
Mikhail Bakulin, Vitaly Kreyndelin, Sergei Melnik, Vladimir Sudovtsev + 2 more
'Vladimir Sudovtsev' 'Dmitry Petrov' 'Oleg Varlamov'] One of the development directions of new-generation mobile communications is using multiple-input multiple-output (MIMO) channels with a large number of antennas. This requires the development and utilization of new approaches to signal detection in MIMO channels…
Authors not listed
Knowledge of the reaction rate constants can be vital in understanding electrochemical reaction mechanisms and their rate-determining processes. Although first-principles methods, such as density functional theory (DFT), provide valuable insight into reaction free energies and rate constants, they commonly use…
Yuxuan Sun, Liangbin Zhao, Jianguo Li, Ziyi Zhang + 3 more
'Xiangyuan Bu' 'Xiaomin Ma'] The traditional LDPC encoding and decoding system is characterized by low throughput and high resource consumption, making it unsuitable for use in cost-efficient, energy-saving sensor networks. Aiming to optimize coding complexity and throughput, this paper proposes a combined design of a…
Sander Keemink, Mark C.W. van Rossum
Throughout the brain information is coded in the activity of multiple neurons at once, so called population codes. Population codes are a robust and accurate way of coding information. One can evaluate the quality of population coding by trying to read out the code with a decoder, and estimate the encoded stimulus.…
Ganchao Wei, Zeinab Tajik Mansouri, Xiaojing Wang, Ian H. Stevenson
Accurately decoding external variables from observations of neural activity is a major challenge in systems neuroscience. Bayesian decoders, that provide probabilistic estimates, are some of the most widely used. Here we show how, in many common settings, the probabilistic predictions made by traditional Bayesian…
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…
Cedric Foucault, Tiffany Bounmy, Sébastien Demortain, Bertrand Thiririon + 2 more
Assessing probabilities and predicting future events are fundamental for perception and adaptive behavior, yet the neural representations of probability remain elusive. While previous studies have shown that neural activity in several brain regions correlates with probability-related factors such as surprise and…
Van N. T. La, Stanley Nicholson, Amna Haneef, Lulu Kang + 1 more
Some data are just underappreciated. Maybe they look different or come from a different background than most other data. Maybe they don't fit neatly into common notions of what data on a ``curve'' should look like. Whatever the case, they are pigeonholed into a restricted role that limits their contributions. But if…