Results 71 to 80 of about 5,509,950 (300)

A Novel KCNA1 Variant in a Patient With Tremor and Autism Spectrum Disorder Causes Mixed LOF/GOF Defects of Kv1.1 Channels

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Variants in KCNA1, encoding the Kv1.1 potassium channel, cause neurological disorders including episodic ataxia and developmental and epileptic encephalopathy. We identified a novel KCNA1 variant (A401T) in a 16‐year‐old patient with autism spectrum disorder, borderline intellectual disability, and tremor, without episodic ataxia or epilepsy ...
Juan Darío Ortigoza‐Escobar   +7 more
wiley   +1 more source

Tsallis Wavelet Entropy and Its Application in Power Signal Analysis

open access: yesEntropy, 2014
As a novel data mining approach, a wavelet entropy algorithm is used to perform entropy statistics on wavelet coefficients (or reconstructed signals) at various wavelet scales on the basis of wavelet decomposition and entropy statistic theory.
Jikai Chen, Guoqing Li
doaj   +1 more source

Two-wavelet theory in Weinstein setting

open access: yesInternational Journal of Wavelets, Multiresolution and Information Processing, 2022
In this paper, we establish the concept of a two-wavelet in Weinstein setting. Then we introduce and demonstrate the resolution of the identity formula for the continuous Weinstein wavelet transform. In the end, we show few results on Calderón’s-type reproducing kernels in the context of the two-wavelet transform in Weinstein setting.
openaire   +3 more sources

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Wavelet Transform for Processing Power Quality Disturbances

open access: yesEURASIP Journal on Advances in Signal Processing, 2007
The emergence of power quality as a topical issue in power systems in the 1990s largely coincides with the huge advancements achieved in the computing technology and information theory.
H. Y. Zhu, S. Chen
doaj   +2 more sources

Two-channel sampling in wavelet subspaces

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2015
We develop two-channel sampling theory in the wavelet subspace V1 from the multi resolution analysis {Vj}j∈𝕫. Extending earlier results by G. G. Walter [11], W. Chen and S. Itoh [2] and Y. M.
Kim J.M., Kwon K.H.
doaj   +1 more source

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis From ELSA‐Brasil

open access: yesArthritis Care &Research, EarlyView.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada   +7 more
wiley   +1 more source

On zerotree quantization for embedded wavelet packet image coding [PDF]

open access: yes, 1999
Wavelet packets are an effective representation tool for adaptive waveform analysis of a given signal. We first combine the wavelet packet representation with zerotree quantization for image coding. A general zerotree structure is defined which can adapt
Wilson, Roland   +3 more
core  

The Adequateness of Wavelet Based Model for Time Series [PDF]

open access: yes, 2013
In general, time series is modeled as summation of known information i.e. historical information components, and unknown information i.e. random component. In wavelet based model, time series is represented as linear model of wavelet coecients. Wavelet
Rosadi, Dedi   +3 more
core   +1 more source

A New Video Super-resolution Reconstruction Algorithm Based on Compressive Sensing

open access: yesChemical Engineering Transactions, 2016
Compressive Sensing(CS) theory can reconstruct the original images from the less measurements with using the priors of the image sparse representation. The CS theory is applied into the video super-resolution(SR) reconstruction, and a new algorithm based
L. Tang, H. Song, M.J. Chen, Y.M. Chen
doaj   +1 more source

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