An Introduction to Independent Component Analysis: InfoMax and FastICA algorithms [PDF]
Tutorials in Quantitative Methods for Psychology, 2010 This paper presents an introduction to independent component analysis (ICA). Unlike principal component analysis, which is based on the assumptions of uncorrelatedness and normality, ICA is rooted in the assumption of statistical independence ...
Dominique Gosselin +2 more
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Extraction of the underlying structure of systematic risk from non-Gaussian multivariate financial time series using independent component analysis: Evidence from the Mexican stock exchange [PDF]
, 2018 Regarding the problems related to multivariate non-Gaussianity of financial time series, i.e., unreliable results in extraction of underlying risk factors -via Principal Component Analysis or Factor Analysis-, we use Independent Component Analysis (ICA ...
Ladrón de Guevara Cortés, Rogelio +2 more
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Independent Component Analysis of Spatiotemporal Chaos [PDF]
, 2005 Two types of spatiotemporal chaos exhibited by ensembles of coupled nonlinear oscillators are analyzed using independent component analysis (ICA). For diffusively coupled complex Ginzburg-Landau oscillators that exhibit smooth amplitude patterns, ICA ...
Amari S. +27 more
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Analysis of scoliosis trunk deformities using ICA [PDF]
, 2012 This paper describes a method for analyzing scoliosis trunk deformities using Independent Component Analysis (ICA). Our hypothesis is that ICA can capture the scoliosis deformities visible on the trunk.
Adankon, Mathias M. +3 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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Sensors, 2012 Signal of interest (SOI) extraction is a vital issue in communication signal processing. In this paper, we propose two novel iterative algorithms for extracting SOIs from instantaneous mixtures, which explores the spatial constraint corresponding to the ...
Yiyu Zhou, Zhitao Huang, Xiang Wang
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Solvent content of protein crystals from diffraction intensities by Independent Component Analysis [PDF]
, 2003 An analysis of the protein content of several crystal forms of proteins has been performed. We apply a new numerical technique, the Independent Component Analysis (ICA), to determine the volume fraction of the asymmetric unit occupied by the protein ...
A. Lamura +34 more
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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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Independent component approach to the analysis of EEG and MEG recordings [PDF]
, 2000 Multichannel recordings of the electromagnetic fields emerging from neural currents in the brain generate large amounts of data. Suitable feature extraction methods are, therefore, useful to facilitate the representation and interpretation of the data ...
Hämäläinen, Dr Matti +4 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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