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easi [2019/11/18 13:34] 127.0.0.1 external edit |
easi [2023/04/21 14:40] (current) daria [EASI] |
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====== EASI ====== | ====== EASI ====== | ||
- | EASI is a variance-based | + | The EASI algorithm |
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+ | EASI is a computationally cheap method for which existing data can be used. Unlike the FAST and RBD methods which use a specially generated sample set that contains suitable frequency data for the input factors, in EASI these frequencies are introduced by sorting and shuffling the available input samples. The sorted input will be a nearly symmetric, periodic signal of frequency 1 (irrespectively of the input distribution). The output data are sorted accordingly matching the resorted input samples, hence avoiding re-evaluation of the model. These sorted | ||
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+ | For higher-order effects, the sorting algorithm is implemented via a multi-dimensional search curve. The sorted and shuffled input obtained with this method will be a perturbed signal with a certain frequency spectrum. It is hoped that the non-periodic perturbations are distributed over the whole spectrum and therefore are of little influence for the spectral analysis. | ||
===== Reference ===== | ===== Reference ===== |