Artificial signal data for signal alignment testing
Introduced by Schütz et al. in Deep Canonical Correlation Alignment for Sensor Signals
This is a set of signals-pairs, univariate and multivariate, that can be used to test alignment algorithms. Signals are morphologically different.
Signal data is synchronized, but the provided timestamp is shifted with small time-jumps.
Papers
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