SEG Technical Program Expanded Abstracts 1997 1997
DOI: 10.1190/1.1885937
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A sparse spectrum technique for gridding and separating potential field anomalies

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Cited by 6 publications
(5 citation statements)
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“…The depth to the source bodies is related to the slope of the logarithm of the power spectrum as a function of the logarithm of the wave number. These depths represent statistical estimates of the interfaces, which allow for an evaluation of an average structural model (Lim & Malik, 1981;Guspí & Introcaso, 2000).…”
Section: Spectral Analysismentioning
confidence: 99%
“…The depth to the source bodies is related to the slope of the logarithm of the power spectrum as a function of the logarithm of the wave number. These depths represent statistical estimates of the interfaces, which allow for an evaluation of an average structural model (Lim & Malik, 1981;Guspí & Introcaso, 2000).…”
Section: Spectral Analysismentioning
confidence: 99%
“…Estimation of the optimum value of α is an important task and there exists a large group of different approaches (e.g., Hansen 1998; Zhdanov 2002; Berdichevski and Dmitriev 2002). The widely used concepts (known to the authors) are methods based on the estimation of the error distribution in the input data (e.g., Sacchi and Ulrych 1996; Guspí and Introcaso 2000) and finding the optimum value in an iterative process (e.g., Portniaguine and Zhdanov 1999, 2002). Here, we use the C‐norm approach of Tikhonov et al (1968), where we construct a C‐norm of the difference between two adjacent solutions (obtained for different values of α), plotted against α (see Fig.…”
Section: Methodology Of the Regularized Derivative Evaluationmentioning
confidence: 99%
“…Clear breaks between lowand high-frequency components of the spectrum were used to design either band-pass or matched filters. Guspi and Introcaso (2000) used the spectrum of observed data and looked for clear breaks between the low-and high-frequency components of the spectrum to separate the regional and residual fields.…”
Section: Regional-residual Separationmentioning
confidence: 99%