Studentized filter of time-frequency analysis and synthesis of the signals

Abstract

Non-linear filter with studentized coefficients of time-frequency decomposition and signal reconstruction is described. The main feature of time-frequency decomposition is least squares estimation of spline fragments of different scales. Filter performs selection of statistically significant components of time-frequency decomposition taking into account local variance of residuals. The main advantage is that it filters fragments of white noise from the signal.