Results 61 to 70 of about 2,554,253 (371)
Binary Turbo Coding with Interblock Memory [PDF]
[[abstract]]We investigate the performance of binary codes T constructed from turbo coding with interblock memory. The encoding of T is implemented by serially concatenating a multiplexer, a multilevel delay processor, and a signal mapper to the encoder ...
Chia-Jung Yeh +3 more
core +1 more source
Turbo codes and turbo algorithms
In the first part of this paper, several basic ideas that prompted the coming of turbo codes are commented on. We then present some personal points of view on the main advances obtained in past years on turbo coding and decoding such as the circular trellis termination of recursive systematic convolutional codes and double-binary turbo codes associated
Berrou, Claude +2 more
openaire +3 more sources
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Research and implementation of Turbo decoding SOVA algorithm
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
The translation factor Eukaryotic translation initiation factor 5A (eIF5A) is essential for male fertility in mice. It supports the translation of proteins crucial for heterochromatin organization and acrosome formation. eIF5A deficiency disrupts chromocenter integrity, increases chromatin accessibility, and causes transcriptional dysregulation ...
Yuling Cai +15 more
wiley +1 more source
Capacity-Approaching Non-Binary Turbo Codes: A Hybrid Design Based on EXIT Charts and Union Bounds
In this paper, we introduce a novel design approach for capacity-approaching non-binary turbo codes. There are two important factors that impact the performance of turbo codes in general: 1) the convergence behavior of iterative decoding in the low ...
Toshiki Matsumine, Hideki Ochiai
doaj +1 more source
A mechanically robust, ROS‐responsive hydrogel is engineered to treat intervertebral disc degeneration by targeting the NF‐κB–LCN2 inflammatory feedback loop. By delivering wedelolactone specifically within oxidative niches, this system disrupts macrophage–disc cell crosstalk.
Zimei Wu +10 more
wiley +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
This paper proposes an iteration stopping criterion for turbo decoding with Benedetto's decoding algorithm based on a posteriori probabilities. This stopping criterion is used in two schemes.
SAVIN, A., TRIFINA, L., ANDREI, M.
doaj +1 more source
Objective To evaluate the timeline for resolution of sacroiliac joint (SIJ) inflammation, changes in structural lesions, and their correlation with patient‐reported outcomes in youth with axial juvenile spondyloarthritis (axJSpA) initiating TNF inhibitor (TNFi).
Timothy G. Brandon +8 more
wiley +1 more source

