Principal and independent component analysis applied to noise reduction in electrocardiographic signals

Another possible representation of a functional data sample is by expressing them as linear com- binations of basis functions, and it is called the basis representation.

The assessment and management of environmental noise in Granada has been done, according to law, through the elaboration of Strategic Noise Maps (SNM) and Noise Action Plans

To compare the CMLHL projections with those obtained from some other unsupervised techniques, Principal Component Analysis (PCA) [17], MLHL and Self- Organizing Map (SOM) [23]

Loading plot of the principal component analysis of the phenolic composition contents in grape skins and seeds at harvest (flavanols: FA; flavonols: FO; phenolic acids: Phe Ac

To do so, we applied Principal Component Analysis (PCA) and Ward’s hierarchical clustering to identify zones of fire regime on the basis of the spatial and temporal arrangement

To achieve a transformation from the original space to a feature space useful for classification, oriented principal component analysis (OPCA) is presented as the solution of

The zero bias conductance anisotropy in the V/MgO/Fe system at 0.3 K has been thoroughly studied by using two methods: (i) estab- lishing three different remanent

The second is based on dimension reduction by using functional principal component analysis of the sample curves (FPCA) and testing multivariate homogeneity on a vector of