Results 41 to 50 of about 861 (178)

Comparison between Modified Bahl, Cocke, Jelinek, and Raviv (BCJR) and Soft Output Viterbi Algorithm (SOVA) Decoders Over Additive White Gaussian Noise (AWGN) Channel

open access: yesJournal of Engineering and Sustainable Development, 2007
urbo codes are suitable for deep-space communications, because of the codes astonishing performance at low values of signal to noise ratio (SNR) and their ability to achieve near Shannon limit of channel capacity.
Maha George Zia   +1 more
doaj  

Glycosylation of the murine cardiac channel TRPM4 is altered by the pathogenic p.I376T variant

open access: yesExperimental Physiology, EarlyView.
Abstract TRPM4 is a calcium‐activated, voltage‐modulated, non‐selective cation channel expressed in various tissues, including the heart. In 2016, we reported on a large French family with progressive heart block type I carrying the variant TRPM4 p.I376T.
Sabrina Guichard   +6 more
wiley   +1 more source

Analysis of iteration control for turbo decoders in turbo synchronization applications [PDF]

open access: yesAdvances in Radio Science, 2009
Wireless data transmission results in frequency and phase offsets of the signal in the receiver. In addition, the received symbols are corrupted by noise.
T. Lehnigk-Emden   +3 more
doaj  

Evaluation of Low Density Parity Check Codes Over Various Channel Types [PDF]

open access: yesEngineering and Technology Journal, 2011
Low density parity check (LDPC) codes are one of the best error correcting codes in today’s coding world and are known to approach the Shannon limit. As with all other channel coding schemes, LDPC codes add redundancy to the uncoded input data to make it
Mahmood Farhan Mosleh
doaj   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

open access: yesExpert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

Unraveling the Bioactive Compounds and Multi‐Target Mechanisms of the Fructus Aurantii Immaturus‐Bambusae Caulis in Taeniam Herb Pair Against Chronic Gastritis: Integrating Identification of Absorbed Constituents, Targeted Network Pharmacology, and Computational Validation

open access: yesFood Science &Nutrition, Volume 14, Issue 7, July 2026.
This work systematically explored the anti‐chronic gastritis mechanism of the FAI‐BCT herb pair. UPLC‐Q‐TOF‐MS/MS was applied to identify absorbed prototypes and metabolites of FAI‐BCT in rat plasma. Combining database mining, network pharmacology, molecular docking, and molecular dynamics simulation, we screened the key bioactive components and core ...
Yinghua Ma   +4 more
wiley   +1 more source

Using large language models to automate herbarium specimen transcription: A case study at the Missouri Botanical Garden

open access: yesPLANTS, PEOPLE, PLANET, Volume 8, Issue 4, Page 1068-1075, July 2026.
Biological specimens housed in natural history collections are indispensable resources for documenting where species occur and how they have changed through time, and are thus vital for combating biodiversity loss. Digitization of these collections promises to make these critical resources globally available.
Matthew W. Austin   +4 more
wiley   +1 more source

A multi‐source fusion and dynamic verification framework for scientific knowledge graph construction: Methods, evaluation, and applications

open access: yesAI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley   +1 more source

Stochastic Analysis of Turbo Decoding

open access: yesIEEE Transactions on Information Theory, 2005
This paper proposes a stochastic framework for dynamic modeling and analysis of turbo decoding. By modeling the input and output signals of a turbo decoder as random processes, we prove that these signals become ergodic when the block size of the code becomes very large.
openaire   +3 more sources

Parallelism Efficiency in Convolutional Turbo Decoding

open access: yesEURASIP Journal on Advances in Signal Processing, 2010
Parallel turbo decoding is becoming mandatory in order to achieve high throughput and to reduce latency, both crucial in emerging digital communication applications. This paper explores and analyzes parallelism techniques in convolutional turbo decoding
Baghdadi Amer   +2 more
doaj  

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