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Two Dimensional Power Spectral Estimation Using Constrained Iterative Spectral Deconvolution, Jerome Leslie Coggins
Two Dimensional Power Spectral Estimation Using Constrained Iterative Spectral Deconvolution, Jerome Leslie Coggins
University of New Orleans Theses and Dissertations
Two-dimensional power spectral estimation is an important tool for seismic data analysis and other applications. Some datasets, however, have a limited number of points in one or both dimensions. In seismic applications, there are typically fewer points in the spatial domain as compared to the temporal domain. Conventional spectral estimation techniques suffer from poor resolution on short datasets due to inherent smoothing or bias.
Ramaswamy and loup developed a one-dimensional method for the estimation of power spectra for short datasets. Constrained Iterative Spectral Deconvolution (CISD) greatly improves the power spectral resolution using a straight-forward algorithm. In a comparison to other …