Results 61 to 70 of about 11,614 (280)

Low-Complexity Multiple-Component Turbo Decoding Aided Hybrid ARQ

, 2011
Previous research has focused on improving the throughput of Hybrid Automatic Repeat reQuest (HARQ) schemes. However, since turbo codes have been introduced into HARQ schemes, their complexity has increased owing to the iterative Bahl, Cocke, Jelinek and
Chen, Hong, Hanzo, Lajos, Maunder, Robert G.   +2 more
core   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

Research and implementation of Turbo decoding SOVA algorithm

Dianzi Jishu Yingyong
For the application requirements of low-orbit satellite communication, in order to reduce interference and load, convolutional codes, Turbo codes and other channel coding methods are usually used to improve the reliability of transmission.
Wang Danfei, Song Junkang, Xia Huining
doaj   +1 more source

Stochastic Decoding of Turbo Codes [PDF]

IEEE Transactions on Signal Processing, 2010
Stochastic computation is a technique in which operations on probabilities are performed on random bit streams. Stochastic decoding of forward error-correction (FEC) codes is inspired by this technique. This paper extends the application of the stochastic decoding approach to the families of convolutional codes and turbo codes.
Dong, Q. T., Arzel, Matthieu, Jego, Christophe, Gross, W. J.   +3 more
openaire   +2 more sources

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source

On the Equivalence of Interleavers for Turbo Codes [PDF]

IEEE Wireless Communications Letters, 2015
Three of the most common interleavers for turbo codes (TCs) are dithered relative prime (DRP) interleavers, quadratic permutation polynomial (QPP) interleavers, and almost regular permutation (ARP) interleavers. In this paper, it is shown that DRP and QPP interleavers can be expressed in the ARP interleaver function form.
Garzon Bohorquez, Ronald, Abdel Nour, Charbel, Douillard, Catherine   +2 more
openaire   +3 more sources

Designing nutritionally improved waffles containing glycerol monostearate based oleogel and aquafaba

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Plant‐based diets are considered healthier and more sustainable, while solutions are sought to replace saturated fats in foods products. Aquafaba (AF) from chickpea cans was foamed to formulate waffles. AF was concentrated at three dry matter contents.
Cristian Szekely, Andreea Pușcaș, Andruța Elena Mureșan, Vlad Mureșan   +3 more
wiley   +1 more source

Deferred-Iteration Aided Low-Complexity Turbo Hybrid ARQ Relying on a Look-up Table [PDF]

, 2011
Since the introduction of turbo code aided Hybrid Automatic Repeat reQuest (HARQ) schemes, their complexity reduction has drawn research attention. In our previous work, we proposed an Early Stopping (ES) strategy for a turbo HARQ scheme, which results ...
Chen, Hong, Hong Chen, R. G. Maunder, L. Hanzo, Hanzo, Lajos, Maunder, Robert G.   +5 more
core   +1 more source

Neurodevelopmental Disorder with Dystonia and Chorea Linked to De Novo Variants in the Splicing Regulator SRRM4

Movement Disorders, EarlyView.
Abstract Background SRRM4 is an exclusively neural‐expressed splicing‐factor gene not yet associated with a monogenic condition. Objective We sought to delineate movement disorders caused by SRRM4 variants. De novo splice‐donor‐site variants at position +2 of intron 5 of SRRM4 (c.464+2T>C, c.464+2T>A) occurred in three unrelated patients with dystonia ...
Philip Harrer, Volker Kittke, Alice Saparov, Alexej Knaus, Shimriet Zeidler, Rachel Schot, Florian Kraft, Matthias Begemann, Suzanna Koudijs, Ugo Sorrentino, Chen Zhao, Ivana Dzinovic, Martin Pavlov, Elisabeth Graf, Antonia M. Stehr, Peter M. Krawitz, Christian Wilhelm, Saskia Biskup, Fahd Alsalloum, Steffen Berweck, Juliane Winkelmann, Konrad Oexle, Ingo Kurth, G. Christoph Korenke, Michael Zech   +24 more
wiley   +1 more source

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