Robust reconstruction of aliased data using autoregressive spectral estimates |
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| Authors: | Mostafa Naghizadeh Mauricio D Sacchi |
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| Institution: | Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2G7, Canada |
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| Abstract: | Autoregressive modeling is used to estimate the spectrum of aliased data. A region of spectral support is determined by identifying the location of peaks in the estimated spatial spectrum of the data. This information is used to pose a Fourier reconstruction problem that inverts for a few dominant wavenumbers that are required to model the data. Synthetic and real data examples are used to illustrate the method. In particular, we show that the proposed method can accurately reconstruct aliased data and data with gaps. |
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| Keywords: | Aliasing Autoregressive spectrum Interpolation Sampling Seismic data |
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