The Karhunen-Loève Transform (KLT) is a mathematical technique used for data compression and feature extraction that transforms a set of correlated random variables into a set of uncorrelated variables. This transform leverages the eigenvalue decomposition of the covariance matrix, allowing for efficient representation of data by capturing the most significant features while reducing dimensionality.
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