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Analysis of the Extremes of SNR Time Series Data Using Extreme Value Statistics (W6A.35)

Presenter: Josh Nevin, University of Cambridge

We demonstrate the suitability of extreme value statistics for the analysis of the extreme values of SNR time series data from a deployed network. Underlying theory, potential use cases and practical considerations are discussed.

Authors:Josh Nevin, University of Cambridge / Seb Savory, University of Cambridge

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