Results 11 to 20 of about 3,626 (230)
Spatially coupled turbo-coded continuous phase modulation: asymptotic analysis and optimization
EURASIP Journal on Wireless Communications and Networking, 2020 For serially or parallel concatenated communication systems, spatial coupling techniques enable to improve the threshold of these systems under iterative decoding using belief propagation (BP).
Tarik Benaddi, Charly Poulliat
doaj +1 more source
Serial concatenation of block andconvolutional codes
Electronics Letters, 1996 Parallel concatenated coding schemes employing convolutional codes as constituent codes linked by an interleaver have been proposed in the literature as ‘turbo codes’. They yield very good performance in connection with simple suboptimum decoding algorithms.
S. BENEDETTO, MONTORSI, Guido
openaire +3 more sources
Serial Concatenation of Space-Time and Recursive Convolutional Codes [PDF]
ETRI Journal, 2003 We propose a new serial concatenation scheme for space-time and recursive convolutional codes, in which a space-time code is used as the outer code and a single recursive convolutional code as the inner code. We discuss previously proposed serial concatenation schemes employing multiple inner codes and compare them with the new one. The proposed method
Young-Jo Ko, Jung-Im Kim
openaire +2 more sources
Iterative decoding of serially concatenated convolutionalcodes
Electronics Letters, 1996 Serial concatenation of convolutional codes separated by an interleaver has recently been shown, through the use of upper bounds to the maximum likelihood performance, to be competitive with parallel concatenated coding schemes known in the literature as ‘turbo codes’.
S. BENEDETTO, MONTORSI, Guido
openaire +3 more sources
Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication
Advanced Science, EarlyView.By developing a novel framework that optimizes both shape and temporal loss during decoder training, the authors successfully reconstruct human‐recognizable handwriting trajectories from intracortical neural signals for both Chinese characters and English letters, effectively resolving the temporal misalignment problem in clinical BCIs, thereby ...
Guangxiang Xu +6 more
wiley +1 more source
Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning
Advanced Science, EarlyView.AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
wiley +1 more source
The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision
Advanced Science, EarlyView.In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li +5 more
wiley +1 more source
Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework
Advanced Science, EarlyView.PROTAC‐STAN, a structure‐informed deep learning framework is presented for interpretable PROTAC degradation prediction. By modeling molecular hierarchies and protein structures, and simulating ternary interactions via a novel attention network, PROTAC‐STAN achieves significant performance gains over baselines.
Zhenglu Chen +11 more
wiley +1 more source
Advanced Science, EarlyView.SpaBatch is an end‐to‐end multi‐slice spatial transcriptomics data integration framework. It simultaneously performs embedding learning, spatial feature denoising and reconstruction, batch effect correction, and spatial domain optimization, effectively correcting batch effects and achieving accurate 3D spatial domain identification.
Jinyun Niu +5 more
wiley +1 more source
Design and Evaluation of Adaptive (Serial/Parallel) Concatenated Convolutional Codes
Journal of Engineering and Sustainable Development, 2006 In this paper, parallel Concatenated Convolutional Codes (PCCCs) is modeled as a special case of Serial Concatenated Convolutional Code (SCCCs). Consequently, resulting in Adaptive (parallel/serial) concatenated convolutional code in which the same ...
Khamis A. Zidan, Raghad Z. Yousif
doaj