Signal and noise separation: Art and science-Reference-Cited by-同舟云学术

Signal and noise separation: Art and science

Published:1999-09 Issue:5 Volume:64 Page:1648-1656
ISSN:0016-8033
Container-title:GEOPHYSICS
language:en
Short-container-title:GEOPHYSICS

Author:

Ulrych Tadeusz J.¹,Sacchi Mauricio D.²,Graul J. Michael³

Affiliation:

1. University of British Columbia, Department of Earth and Ocean Science, 129-2219 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada.

2. University of Alberta, Department of Physics, Avadh Bhatia Physics Laboratory, Edmonton, Alberta T6G 2J1, Canada.

3. Texseis Inc., 2618 Hollow Hook, Houston, Texas 7708-3814.

Abstract

The separation of signal and noise is a central issue in seismic data processing. The noise is both random and coherent in nature, the coherent part often masquerading as signal. In this tutorial, we present some approaches to signal isolation, in which stacking is a central concept. Our methodology is to transform the data to a domain where noise and signal are separable, a goal that we attain by means of inversion. We illustrate our ideas with some of our favorite transformations: wavelets, eigenvectors, and Radon transforms. We end with the notion of risk, baseball, and the Stein estimator.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Link

https://library.seg.org/doi/pdf/10.1190/1.1444670

Reference14 articles.

1. Burg, J. P., 1975, Maximum entropy spectral analysis: Ph.D. thesis, Stanford Univ.

2. Donoho, D. L., 1994, De‐noising by soft‐thresholding: manuscript, Department of Statistics, Stanford Univ. Available at www.stat.stanford.edu/∼donoho/Reports/index.html.

3. Efron, B., and Morris, C., 1977, Stein’s paradox in statistics: Scientific American, May, 119–128.

4. Foster, D. J., Mosher, C. C., and Hassanzadeh, S., 1994, Wavelet transform methods for geophysical applications: 64th Ann. Internat. Mtg., Soc. Expl. Geophys., Expanded Abstracts, 1465–1468.

5. Application of singular value decomposition to vertical seismic profiling

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reconstruction and denoising of high-dimensional seismic data via Frobenius-nuclear mixed norm constraints;Journal of Geophysics and Engineering;2024-07-10

2. Blind Curvelet-Based Denoising of Seismic Surveys in Coherent and Incoherent Noise Environments;Arabian Journal for Science and Engineering;2023-04-04

3. Seismic Multiple Attenuation in the Continent–Ocean Transition Zone of the Northern South China Sea;Journal of Marine Science and Engineering;2023-01-15

4. Offset-extended sparse Radon transform: Application to multiple suppression in the presence of amplitude variations with offset;GEOPHYSICS;2021-03-19

5. A nonlinear solution to 3D seismic data conditioning using trained dictionaries;GEOPHYSICS;2020-09-01