HAL (France)
open access
Uncertainties in Signal Recovery from Heterogeneous and Convoluted Time Series with Principal Component Analysis
Principal Component Analysis (PCA) is one of the most used tools for extracting low-dimensional representations of data, in particular for time series. Performances are known to strongly depend on the quality (amount of noise) and the quantity of data. We here investigate the impact of heterogeneiti
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