Results 41 to 50 of about 2,723,745 (323)

New Algorithm For Calculating Wavelet Transforms [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2009
In this article we introduce a new algorithm for computing Discrete Wavelet Transforms (DWT). The algorithm aims at reducing the number of multiplications, required to compute a DWT.
Piotr Lipinski, Mykhaylo Yatsymirskyy
doaj  

Wavelet Transform-Based Signal Denoising in Low-Field NMR

open access: yesChinese Journal of Magnetic Resonance, 2018
Low-field NMR often uses permanent magnet. The signals obtained contain high level of white Gaussian noises, and have low signal-to-noise ratio (SNR). In recent years, many denoising methods have been proposed for low-field NMR measurements.
CHANG Xiao, SU Guan-qun, NIE Sheng-dong
doaj   +1 more source

LDPC coded hybrid discrete cosine transform and Fejér–Korovkin wavelet transform-based SC-FDMA for image communication

open access: yesArray, 2021
A low-density parity-check (LDPC) coded single-carrier frequency-division multiple access (SC-FDMA) system is proposed for effective image transmission.
Rafiul Kadir   +4 more
doaj   +1 more source

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky   +8 more
wiley   +1 more source

Edge Detection with Hessian Matrix Property Based on Wavelet Transform [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran, 2015
In this paper, we present an edge detection method based on wavelet transform and Hessian matrix of image at each pixel. Many methods which based on wavelet transform, use wavelet transform to approximate the gradient of image and detect edges by ...
N. Aghazadeh, Y. Gholizade Atani
doaj  

A recursive scheme for computing autocorrelation functions of decimated complex wavelet subbands [PDF]

open access: yes, 2010
This paper deals with the problem of the exact computation of the autocorrelation function of a real or complex discrete wavelet subband of a signal, when the autocorrelation function (or Power Spectral Density, PSD) of the signal in the time domain (or ...
Aelterman, Jan   +3 more
core   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi   +2 more
wiley   +1 more source

Joint Time-Frequency And Wavelet Analysis - An Introduction

open access: yesMetrology and Measurement Systems, 2014
A traditional frequency analysis is not appropriate for observation of properties of non-stationary signals. This stems from the fact that the time resolution is not defined in the Fourier spectrum.
Majkowski Andrzej   +2 more
doaj   +1 more source

Local transformations with a singular wavelet

open access: yesInformatika, 2020
The paper considers a local wavelet transform with a singular basis wavelet. The problem of nonparametric approximation of a function is solved by the use of the  sequence of local wavelet transforms.
V. M. Romanchak
doaj   +1 more source

Onasemnogene Abeparvovec in Type I Spinal Muscular Atrophy: 24‐Month Follow‐Up From the Italian Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane   +43 more
wiley   +1 more source

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