DocumentCode
2231864
Title
Adaptive local polynomial Fourier transform
Author
Dakovic, Milos ; Djurovic, Igor ; Stankovic, Ljubisa
Author_Institution
Elektrotehnicki Fakultet, Univ. of Montenegro, Podgorica, Montenegro
fYear
2002
fDate
3-6 Sept. 2002
Firstpage
1
Lastpage
4
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 time-frequency signal representations.
Keywords
Fourier transforms; polynomials; signal representation; ALPFT; IF; adaptive local polynomial Fourier transform; maximal concentration measurement; multicomponent FM signals; parallel instantaneous frequencies; time-frequency signal representations; weighting coefficients; Fourier transforms; Frequency estimation; Frequency modulation; Polynomials; Time-frequency analysis; Weight measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2002 11th European
Conference_Location
Toulouse
ISSN
2219-5491
Type
conf
Filename
7071918
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