Results 21 to 30 of about 150,011 (287)
DCT-Based Preprocessing Approach for ICA in Hyperspectral Data Analysis
Sensors, 2018 The huge quantity of information and the high spectral resolution of hyperspectral imagery present a challenge when performing traditional processing techniques such as classification.
Kamel Boukhechba +2 more
doaj +1 more source
An algorithm for separation of mixed sparse and Gaussian sources. [PDF]
PLoS ONE, 2017 Independent component analysis (ICA) is a ubiquitous method for decomposing complex signal mixtures into a small set of statistically independent source signals.
Ameya Akkalkotkar, Kevin Scott Brown
doaj +1 more source
Independent Component Analysis with Functional Neuroscience Data Analysis [PDF]
Journal of Biomedical Physics and Engineering, 2023 Background: Independent Component Analysis (ICA) is the most common and standard technique used in functional neuroscience data analysis. Objective: In this study, two of the significant functional brain techniques are introduced as a model for ...
Hadeel K Aljobouri
doaj +1 more source
Data in Brief, 2019 Here we present an electroencephalographic (EEG) collection of 71-channel datasets recorded from 14 subjects (7 males, 7 females, aged 20–40 years) while performing a visual working memory task with a T set of 150 Independent Component Analysis (ICA ...
Fiorenzo Artoni +2 more
doaj +1 more source
Independent EEG sources are dipolar. [PDF]
PLoS ONE, 2012 Independent component analysis (ICA) and blind source separation (BSS) methods are increasingly used to separate individual brain and non-brain source signals mixed by volume conduction in electroencephalographic (EEG) and other electrophysiological ...
Arnaud Delorme +4 more
doaj +1 more source
Watermark Detection and Extraction Using Independent Component Analysis Method
EURASIP Journal on Advances in Signal Processing, 2002 This paper proposes a new image watermarking technique, which adopts Independent Component Analysis (ICA) for watermark detection and extraction process (i.e., dewatermarking). Watermark embedding is performed in the spatial domain of the original image.
Yu Dan, Sattar Farook, Ma Kai-Kuang
doaj +1 more source
Blind Detection of Independent Dynamic Components [PDF]
, 2001 In certain applications of independent component analysis (ICA) it any of interest to test hypotheses concerning the number of components or simply to test whether a given number of components is significant relative to a "white noise" null ...
Hansen, Lars Kai +2 more
core +2 more sources
Jurnal Ilmu Komputer dan Informasi, 2012 Pemeliharaan kondisi mesin di industri membutuhkan kecepatan dan kemudahan, salah satu metodenya adalah dengan analisis getaran. Getaran mesin menyebabkan pola suara yang diemisikan mesin, di mana suara mesin satu bercampur dengan mesin lainnya.
B.T. Atmaja, A. S. Aisyah, D. Arifianto
doaj +1 more source
The principal independent components of images [PDF]
, 2010 This paper proposes a new approach for the encoding of images by only a few important components. Classically, this is done by the Principal Component Analysis (PCA).
Arlt, Björn, Brause, Rüdiger W.
core
Network Localization of Fatigue in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source