Spectral Analysis of Seismic Data Using Wavelet Transform

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dc.contributor.authorXia, Li
dc.date.accessioned2017-02-20T23:39:16Z
dc.date.available2017-02-20T23:39:16Z
dc.date.issued1999
dc.date.manuscript1999
dc.description.abstractSpectral analysis provides the frequency information of the data. Fourier tansform projects the data from time domain into frequency domain, while the time information is completely lost after the procedure. Time-frequency analysis is a procedure to localiza the frequency content in time. Wavelet transform is a method to do the time-frequency analysis of the data. Many methods of wavelet transform have been developed such as the continuous wavelet transform, the multiresolution analysis, the wavelet packet and the matching pursuit decomposition. Each method has its own advantages of providing a time-frequency representation of the data. In the thesis, different methods of wavelet transform are introduced and performed on different data. The advantages and the disadvantages of different methods are analyzed so that different methods of wavelet transform could be applied in different situations. In practice, different methods should be used together to provide an good time-frequency representation for different data.
dc.identifier.urihttp://hdl.handle.net/11244/48338
dc.languageen_US
dc.subjectWavelets (Mathematics)
dc.subjectTime-series analysis
dc.subjectFrequency spectra
dc.thesis.degreeMaster of Science
dc.titleSpectral Analysis of Seismic Data Using Wavelet Transform
dc.typeThesis
ou.groupGeology and Geophysics, School of

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