Title :
Robust adaptive local polynomial Fourier transform
Author_Institution :
Electr. Eng. Dept., Univ. of Montenegro, Yugoslavia
Abstract :
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.
Keywords :
"Polynomials","Fourier transforms","Noise robustness","Working environment noise","Gaussian noise","Chirp","Sorting","Signal analysis","Signal resolution","Adaptive signal processing"
Journal_Title :
IEEE Signal Processing Letters
DOI :
10.1109/LSP.2003.821695
