Removal of Long Pulses from Audio Signals Using Two-pass Split-window Filtering

摘要

This paper addresses the restoration of audio signals proceeding from old recordings, and focuses on long-pulseremoval . We propose a new two-stage method to estimate the waveform of each long pulse from the observed noisysignal . First, an initial estimate for the pulse shape is obtained via a non-linear filtering scheme called two-passsplit-window (TPSW) filtering. Then, this estimate is further smoothed through a piecewise polynomial fitting. Thedegree of smoothness of the estimate can be controlled by adjusting either the TPSW parameters or the length ofthe segments to be fitted . The proposed method has low computational complexity, it is not constrained by theassumption of shape similarity among pulse waveforms, and can be successfully applied for removing overlappingpulses .