independent component analysis approach
Coherency Identification in Interconnected Power Systems - An Independent Component Analysis Approach
... different independent components (ICs) consist of different spectral ...A component with a single spectral peak is more dominant in terms of non- Gaussianity than a component with multiple ...the ...
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Cancelling ECG Artifacts in EEG Using a Modified Independent Component Analysis Approach
... It should be noted that, while the additional assumption we make here is identical to the one made in the adaptive filtering approach, the separation criterion is completely di ff erent. This is why the results of ...
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Robin Sharma M.Tech, Computer Sci. Engg, RIMT-IET, Mandi Gobindgarh, Punjab, India. Principal Dr. Sushil Garg RIMT-MAEC, Mandigobindgarh Punjab, India
... of Independent component analysis and Neural Network technique for enhancing the accuracy of spam detection from the dataset which is basically in the textual form applying the content based ...
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Independent component approach to the analysis of EEG and MEG recordings
... Recent research on artifact identification in EEG and MEG recordings, using ICA, has been reported in, e.g., [19], [29], and [31]. Fig. 3 presents a subset of 12 MEG signals, from a total of 122 used in the experiment. ...
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BLIND SOURCE SEPARATUION BASED ON THE WEIBULL MIXTURE MODEL
... parametric approach is an important tool of statistical signal ...multi component probabilistic model representation such as mixture modeling is ...each component in the ...Fast Independent ...
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Semi-Parametric Models for Independent Component Analysis.
... First of all I want to thank my advisor Dr. Sujit K. Ghosh for his unceasing support, guidance and patience. From my first day at the department I learned a lot from him starting from the classroom of ST521 and in ...
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An Overview of Independent Component Analysis and Its Applications
... This approach initially lead to what is known as independent component analysis ...ple approach to the problem named infomax, that many be- came aware of the potential of ...on ...
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Independent Component Analysis for Magnetic Resonance Image Analysis
... components analysis (PCA) transform [25] which can only decorrelate second-order statistics that generally character- ize image background rather than brain tissues which are most likely to be captured by ...
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Leaf vein extraction using independent component analysis
... two-stage approach for leaf vein ...the approach was capable of extracting more precise venation modality of the leaf than the conventional edge detection ...
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Dependence, Correlation and Gaussianity in Independent Component Analysis
... “orthogonal approach.” In the orthogonal approach, the overall transformation is often explicitly obtained as the product of a whitening matrix by an orthogonal matrix but for the purpose of ...
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B-spline mutual information independent component analysis
... procedure. Analysis of the brain is now an increasingly important area of research for understanding and modeling it for medical diagnosis and treatment, especially for developing automated patient monitoring and ...
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Geometrical Interpretation of the PCA Subspace Approach for Overdetermined Blind Source Separation
... Blind source separation (BSS) is a technique for estimating original source signals using only sensor observations that are mixtures of the original signals. If source signals are mu- tually independent and ...
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Nonlinear modal analysis using pattern recognition
... different approach is investigated through the usage of unsupervised pattern recognition techniques such as kernel independent component analysis (KICA) and locally linear embedding manifold ...
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Statistical Dynamics of On-line Independent Component Analysis
... asymptotic analysis by considering the limit of large system ...principal component analysis (PCA) algorithm (Biehl, 1994, Biehl and Schl ¨osser, 1998) have been studied in this ...mechanics ...
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Independent component analysis techniques and their performance evaluation for electroencephalography
... called independent component analysis (ICA) ...the independent source signals given only the recorded ...extracts independent components by maximising the joint entropy ...an ...
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Rapid Algorithm for Independent Component Analysis
... For the case of signals that are nearly Gaussian, such as the EEGs, the RapidICA again outperformed the Fast- ICA in terms of speed. But the margin of improvement is less than that in the case of images. This is because ...
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Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
... principal component analysis and other latent variable models, such as factor analysis (FA) or independent component analysis (ICA), require a marginalisation of the latent ...
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A biologically inspired vision-based approach for detecting multiple moving objects in complex outdoor scenes
... brain, independent components of optical flows from the medial superior temporal (MST) area are speculated for motion ...novel approach combining independent component analysis (ICA) ...
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Electrocardiogram Diagnosis For Arrhythmia Classification Using SVM And ICA
... based approach is discussed and the out come of the proposed computer based detection of five different heart ...that Independent Component Analysis (ICA) is the methodology used to comprise ...
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A semiparametric approach to source separation using independent component analysis
... principal component analysis (PCA), factor analysis (FA), projection pursuit (PP) and independent component analysis ...as independent sources in contrast to uncorrelated ...
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