Results 81 to 90 of about 306,586 (334)

Multiple Source Cooperation: From Code Division Multiplexing To Variable-Rate Network Coding

open access: yes, 2011
Multiple-source cooperation techniques, including conventional code-division multiplexing (CDM) and classic network coding (CNC), are investigated. We adopt a soft sum - product decoding algorithm for the CNC technique to efficiently process a large ...
Hanzo, Lajos, Zhang, Rong
core   +1 more source

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu   +9 more
wiley   +1 more source

Degradation-aware neural imputation: Advancing decoding stability in brain machine interfaces

open access: yesAPL Bioengineering
Neural signal degradation poses a significant challenge in maintaining stable performance when decoding motor tasks using multiunit activity (MUA) and local field potential (LFP) signals in the implantable brain machine interface (iBMI) applications ...
Yun-Ting Kuo   +7 more
doaj   +1 more source

A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models

open access: yes, 2017
Beam search is a desirable choice of test-time decoding algorithm for neural sequence models because it potentially avoids search errors made by simpler greedy methods.
Berg-Kirkpatrick, Taylor   +3 more
core   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz   +3 more
wiley   +1 more source

Progressive Image Transmission Based on Joint Source-Channel Decoding Using Adaptive Sum-Product Algorithm

open access: yesEURASIP Journal on Image and Video Processing, 2007
A joint source-channel decoding method is designed to accelerate the iterative log-domain sum-product decoding procedure of LDPC codes as well as to improve the reconstructed image quality.
Liu Weiliang, Daut DavidG
doaj   +2 more sources

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang   +10 more
wiley   +1 more source

Shift Pruning-Based SCL Decoding for Polar Codes

open access: yesMathematics
In the context of the high-speed development of 5G communications, high-performance decoding schemes for polar codes are a hot spot in channel coding research.
Desheng Wang   +5 more
doaj   +1 more source

Validation of a Genetic Risk Score Combined With Clinical Variables for Predicting Pulmonary Fibrosis in Early Rheumatoid Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). This study aimed to externally validate a genetic risk score (GRS) and a combined risk score (CRS) for predicting the risk of RA‐associated PF in an independent cohort of patients with early RA.
Mikael Brink   +3 more
wiley   +1 more source

Decoding imagined speech with delay differential analysis

open access: yesFrontiers in Human Neuroscience
Speech decoding from non-invasive EEG signals can achieve relatively high accuracy (70–80%) for strictly delimited classification tasks, but for more complex tasks non-invasive speech decoding typically yields a 20–50% classification accuracy.
Vinícius Rezende Carvalho   +9 more
doaj   +1 more source

Home - About - Disclaimer - Privacy