Results 11 to 20 of about 32,702 (254)
Comparison of dimension reduction methods on fatty acids food source study
Scientific Reports, 2021 Serum fatty acids (FAs) exist in the four lipid fractions of triglycerides (TGs), phospholipids (PLs), cholesteryl esters (CEs) and free fatty acids (FFAs). Total fatty acids (TFAs) indicate the sum of FAs in them.
Yifan Chen +15 more
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Multiple-Exposure Image Fusion for HDR Image Synthesis Using Learned Analysis Transformations
Journal of Imaging, 2019 Modern imaging applications have increased the demand for High-Definition Range (HDR) imaging. Nonetheless, HDR imaging is not easily available with low-cost imaging sensors, since their dynamic range is rather limited.
Ioannis Merianos, Nikolaos Mitianoudis
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A novel fixed-point algorithm for constrained independent component analysis
EURASIP Journal on Advances in Signal Processing, 2019 Constrained independent component analysis (ICA) is an effective method for solving the blind source separation with a prior knowledge. However, most constrained ICA algorithms are proposed for the real-valued sources.
Guobing Qian +3 more
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Application of independent component analysis to Fermilab Booster
Physical Review Special Topics. Accelerators and Beams, 2005 Autocorrelation is applied to analyze sets of finite-sampling data such as the turn-by-turn beam position monitor (BPM) data in an accelerator. This method of data analysis, called the independent component analysis (ICA), is shown to be a powerful beam ...
Xiaobiao Huang +3 more
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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
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An Over-Complete Independent Component Analysis (ICA) Approach to Magnetic Resonance Image Analysis [PDF]
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005 This paper presents a new application of independent component analysis (ICA) in magnetic resonance (MR) image analysis. One of most successful applications for ICA-based approaches in MR imaging is functional MRI (fMRI) which basically deals with one-dimensional temporal signals.
Jing, Wang +5 more
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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
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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
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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
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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
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