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ResMet focuses on applying resampling methods to analyze cyclostationary processes, which have applications in various fields such as signal analysis and climatology. The project aims to develop new statistical tools for better estimation and testing of these complex processes.
ResMet is dedicated to applications of resampling methods in statistical inference for the processes with periodic and almost periodic structures.
The mentioned processes in the literature are called cyclostationary (CS) and almost cyclostationary (ACS).
Studies of CS/ACS processes started by Gladyshev in 1961.
Since then the subject has developed fast and found applications in many branches of vibroacoustics, mechanics, signal analysis and climatology.
The wide range of possible applications re…
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