Robust adaptive local polynomial Fourier transform

A robust form of the local polynomial Fourier transform (LPFT) is introduced. This transform can produce a highly concentrated time-frequency (TF) representation for signals embedded in an impulse noise. Calculation of the adaptive parameter in the proposed transform is based on the concentration measure. A modified form, calculated as a weighted sum of the robust LPFT, is proposed for multicomponent signals.