Time-frequency analysis (TFA) plays an important role in various engineering and biomedical fields. For a non-stationary time series, a common practice is to divide data into segments under the ...

The article considers the task of classifying fractal time series based on the construction of their recurrence plots. Short realizations of EEG signals were used as input data. Two classification ...

Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series into a sum of interpretable components ...

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