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A neural detector for seismic reflectivity sequences
IEEE Transactions on Neural Networks, 1992A commonly used routine in seismic signal processing is deconvolution, which comprises two operations: reflectivity detection and magnitude estimation. Existing statistical detectors are computationally expensive. In the paper, a Hopfield neural network is constructed to perform the reflectivity detection operation.
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Seismic reflection and refraction
2013The seismic-reflection and -refraction methods in near-surface geophysical investigations are based on the introduction of mechanical energy into the subsurface using an active source and the recording, typically using surface geophones, of the resulting mechanical response.
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Processing of Seismic Reflection Data
2016With the introduction of the digital recording in the mid 1960s, a fundamental change in processing of the seismic data began.
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Resolution of seismic reflections
1956Thesis. (M.S.) Massachusetts Institute of Technology. Dept. of Geology and Geophysics, 1956. ; Bibliography: leaf 71. ; by Robert W. Wylie. ; M.S.
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