Results 41 to 50 of about 546,093 (294)
Iterative Decoding of Concatenated Codes: A Tutorial
EURASIP Journal on Advances in Signal Processing, 2005 The turbo decoding algorithm of a decade ago constituted a milestone in error-correction coding for digital communications, and has inspired extensions to generalized receiver topologies, including turbo equalization, turbo synchronization, and turbo ...
Phillip A. Regalia
doaj +1 more source
Qubit-Oscillator Concatenated Codes: Decoding Formalism and Code Comparison
PRX Quantum, 2023 Concatenating bosonic error-correcting codes with qubit codes can substantially boost the error-correcting power of the original qubit codes. It is not clear how to concatenate optimally, given that there are several bosonic codes and concatenation ...
Yijia Xu +3 more
doaj +1 more source
Improved DC-Free Run-Length Limited 4B6B Codes for Concatenated Schemes
IEEE Access, 2022 In this letter, we introduce a class of improved DC-free 4B6B codes in terms of error correction capabilities for a serially concatenated architecture. There are billions of different codebooks that can be derived from the 16 codewords contained in the ...
Elie Ngomseu Mambou +2 more
doaj +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Graph concatenation for quantum codes [PDF]
Journal of Mathematical Physics, 2011 26 pages, 12 figures. Figures of concatenated [[5,1,3]] and [[7,1,3]] are added.
Beigi, S. +4 more
openaire +4 more sources
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Advanced Materials, EarlyView.Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source
, 2010 In this paper, we consider coding schemes designed for two nodes communicating with each other with the aid of a relay node, which receives information from the two nodes in the first time slot.
Muhammad Fasih Uddin Butt +7 more
core +1 more source
Short Low-Rate Non-Binary Turbo Codes [PDF]
, 2012 A serial concatenation of an outer non-binary turbo code with different inner binary codes is introduced and analyzed. The turbo code is based on memory-1 time-variant recursive convolutional codes over high order fields.
Paolini, Enrico +9 more
core +1 more source