A data mining algorithm for automated characterisation of fluctuations in multichannel timeseries
We present a data mining technique for the analysis of multichannel oscillatory timeseries data and show an application using poloidal arrays of magnetic sensors installed in the H-1 heliac. The procedure is highly automated, and scales well to large datasets. The timeseries data is split into short time segments to provide time resolution, and each segment is represented by a singular value decomposition (SVD). By comparing power spectra of the temporal singular vectors, related singular...[Show more]
|Collections||ANU Research Publications|
|Source:||Computer Physics Communications|
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