Results 51 to 60 of about 195,151 (333)

From Blind Signal Extraction to Blind Instantaneous Signal Separation: Criteria, Algorithms, and Stability

open access: yesIEEE Transactions on Neural Networks, 2004
This paper reports a study on the problem of the blind simultaneous extraction of specific groups of independent components from a linear mixture. This paper first presents a general overview and unification of several information theoretic criteria for the extraction of a single independent component.
Sergio A, Cruces-Alvarez   +2 more
openaire   +2 more sources

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini   +7 more
wiley   +1 more source

Blind Separation Of Cyclostationary Signals

open access: yes, 1998
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Dapena, Adriana   +2 more
openaire   +1 more source

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks   +10 more
wiley   +1 more source

Image Decomposition and Separation Using Sparse Representations: An Overview [PDF]

open access: yes, 2010
This paper gives essential insights into the use of sparsity and morphological diversity in image decomposition and source separation by reviewing our recent work in this field.
Bobin, Jérôme   +3 more
core  

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund   +3 more
wiley   +1 more source

Separation of Cyclostationary Signals and Interference in Transmission Lines of Printed Circuit Boards Based on Independent Component Analysis

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника
Introduction. When developing and testing high-speed communication links of digital electronic devices, the pulse shape of electrical signals and interference in transmission lines is commonly controlled using eye diagrams.
Yu. V. Kuznetsov   +3 more
doaj   +1 more source

A Sparse Underdetermined Blind Source Separation Method and Its Application in Fault Diagnosis of Rotating Machinery

open access: yesComplexity, 2020
Rolling element bearing is one of the most commonly used supporting parts in rotating machinery, and it is also one of the most easily failing rotating parts.
HongChao Wang, WenLiao Du
doaj   +1 more source

Single channel blind source separation of complex signals based on spatial‐temporal fusion deep learning

open access: yesIET Radar, Sonar & Navigation, 2023
Blind Source Separation (BSS) of complex signals composed of radar, communication and jamming signals is the first step in an integrated electronic system, which requires higher accuracy of separation. However, the traditional Single‐Channel Blind Source
Weilin Luo   +5 more
doaj   +1 more source

Single-Channel Blind Source Separation of Spatial Aliasing Signal Based on Stacked-LSTM

open access: yesSensors, 2021
Aiming at the problem of insufficient separation accuracy of aliased signals in space Internet satellite-ground communication scenarios, a stacked long short-term memory network (Stacked-LSTM) separation method based on deep learning is proposed.
Mengchen Zhao   +5 more
doaj   +1 more source

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