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What is Adaptive Segmentation in EEG Signal Processing about?

The document discusses adaptive segmentation techniques for physiological signals. It describes limitations of using fixed window sizes for short-time analysis when signals are non-stationary. Adaptive segmentation allows the window size to vary and adapt to changes in the signal, maintaining stationarity within each window. It presents the spectral error measure, autocorrelation, and generalized likelihood ratio methods for adaptive segmentation. The generalized likelihood ratio method uses a growing refer

Author

Manasi Narade

Language

EN