Paper data
Title:
Adaptive local polynomial Fourier transform Author(s): Dakovic Milos, Elektrotehnicki Fakultet, University of Montenegro, 81000 Podgorica, Montenegro, Yugoslavia Djurovic Igor, Elektrotehnicki Fakultet, University of Montenegro, 81000 Podgorica, Montenegro, Yugoslavia Stankovic Ljubisa, Elektrotehnicki Fakultet, University of Montenegro, 81000 Podgorica, Montenegro, Yugoslavia Page numbers in the proceedings: Volume II pp 603606 Session: Filter Design / Fast Algorithms
Paper abstract
Adaptive local polynomial Fourier transform (ALPFT) is proposed in this paper. For multicomponent FM signals with parallel instantaneous frequencies (IF) the ALPFT is chosen as the local polynomial Fourier transforms (LPFT) which produces maximal concentration measure from a set of the LPFTs. For other forms of the FM signals the ALPFT is determined as a weighted sum of the LPFTs. The weighting coefficients are determined as a function of the concentration measure. The proposed transforms produce highly concentrated timefrequency signal representations.
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