Data Signal Processing - Lin, Jyh-Woei
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Chapter one, the Fractional Fourier Transforms (FRFT) is introduced.It will show the basis of the FRFT with nostationary behaviors is a chirp-like function related to sinusoid basis of Fourier Transforms. Therefore the FRFT could be considered as the Chirp-like Transforms Chapter two, Curvelet transform is a new multiscale analysis method, and this analysis was developed from the purpose of de-noising. Compare to wavelet, curvelet analysis can solve the characteristic represent of higher dimension and this transform can acquire theoretically the best expression as to curve singularity…mehr

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Produktbeschreibung
Chapter one, the Fractional Fourier Transforms (FRFT) is introduced.It will show the basis of the FRFT with nostationary behaviors is a chirp-like function related to sinusoid basis of Fourier Transforms. Therefore the FRFT could be considered as the Chirp-like Transforms Chapter two, Curvelet transform is a new multiscale analysis method, and this analysis was developed from the purpose of de-noising. Compare to wavelet, curvelet analysis can solve the characteristic represent of higher dimension and this transform can acquire theoretically the best expression as to curve singularity characteristic. Chapter three, a type of time-frequency representation optimal with respect to time-frequency localization is the Wigner Distribution (WD) . The WD is already used to enhance the seismic event .
Autorenporträt
Department of Physics, Chung Yuan Christian University, Taiwan (1985-1989)Master Degree of Institute of Geophysics, National Central University, Taiwan (1989-1991)PHD student, Institut für Geophysik, Technische Universität Clausthal, Germany (1996-2000)PHD student, Department of Earth Science, National Cheng Kung University, Taiwan