Results 41 to 50 of about 19,018 (206)

On the Convergence Speed of Turbo Demodulation With Turbo Decoding [PDF]

open access: yesIEEE Transactions on Signal Processing, 2012
Iterative processing is widely adopted nowadays in modern wireless receivers for advanced channel codes like turbo and LDPC codes. Extension of this principle with an additional iterative feedback loop to the demapping function has proven to provide substantial error performance gain.
Haddad, Salim   +2 more
openaire   +3 more sources

Turbo Decoding and Detection for Wireless Applications [PDF]

open access: yes, 2007
A historical perspective of turbo coding and turbo transceivers inspired by the generic turbo principles is provided, as it evolved from Shannon’s visionary predictions.
Hanzo, L., Robertson, P, Woodard, J.P.
core   +1 more source

Repeated Disuse Atrophy Imprints a Molecular Memory in Skeletal Muscle: Transcriptional Resilience in Young Adults and Susceptibility in Aged Muscle

open access: yesAdvanced Science, EarlyView.
Repeated disuse imprints a molecular memory in skeletal muscle, conferring transcriptional resilience in young adults but exaggerated susceptibility in aged muscle, driven by epigenetic regulation of aerobic metabolism, mitochondrial and NAD+ pathways.
Daniel C. Turner   +14 more
wiley   +1 more source

Extrinsic Information Transfer Charts for Characterizing the Iterative Decoding Convergence of Fully Parallel Turbo Decoders

open access: yesIEEE Access, 2015
Fully parallel turbo decoders (FPTDs) have been shown to offer a more-than-sixfold processing throughput and latency improvement over the conventional logarithmic Bahl-Cocke-Jelinek-Raviv (Log-BCJR) turbo decoders.
Hoang Anh Ngo   +2 more
doaj   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

A New VLSI Architecture for High-Performance Parallel Turbo Decoder

open access: yesInternational Islamic University Malaysia Engineering Journal, 2022
Recent wireless communications demand maximum achievable data rates without intervention. The channel decoder in the physical layer would support such high data rates with a flexible hardware structure. The turbo channel decoder offers flexible hardware
sujatha elukuru   +2 more
doaj   +1 more source

Iterative channel equalization, channel decoding and source decoding

open access: yes, 2005
The performance of soft source decoding is evaluated over dispersive AWGN channels. By employing source codes having error-correcting capabilities, such as Reversible Variable-Length Codes (RVLCs) and Variable-Length Error-Correcting (VLEC) codes, the ...
Hanzo, L., Wang, J., Yang, L-L.
core   +1 more source

Interleaving Gains for Receive Diversity Schemes of Distributed Turbo Codes in Wireless Half–Duplex Relay Channels [PDF]

open access: yes, 2015
This paper proposes the interleaving gain in two different distributed turbo-coding schemes: Distributed Turbo Codes (DTC) and Distributed Multiple Turbo Codes (DMTC) for half-duplex relay system as an extension of our previous work on turbo coding ...
Ejaz, S.   +2 more
core   +2 more sources

A Perspective of Multi‐Reflecting TOF MS

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov   +3 more
wiley   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul   +8 more
wiley   +1 more source

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