Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation
This article reviews some key aspects of two important branches in unsupervised signal processing: blind deconvolution and blind source separation (BSS). It also gives an overview of their potential application in seismic processing, with an emphasis on seismic deconvolution. Finally, it presents il...
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| Veröffentlicht in: | IEEE signal processing magazine 2012-07, Vol.29 (4), p.27-35 |
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| container_end_page | 35 |
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| container_title | IEEE signal processing magazine |
| container_volume | 29 |
| creator | Takahata, A. K. Nadalin, E. Z. Ferrari, R. Duarte, L. T. Suyama, R. Lopes, R. R. Romano, J. M. T. Tygel, M. |
| description | This article reviews some key aspects of two important branches in unsupervised signal processing: blind deconvolution and blind source separation (BSS). It also gives an overview of their potential application in seismic processing, with an emphasis on seismic deconvolution. Finally, it presents illustrative results of the application, on both synthetic and real data, of a method for seismic deconvolution that combines techniques of blind deconvolution and blind source separation. Our implementation of this method contains some improvements overthe original method in the literature described. |
| doi_str_mv | 10.1109/MSP.2012.2189999 |
| format | Magazinearticle |
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| ispartof | IEEE signal processing magazine, 2012-07, Vol.29 (4), p.27-35 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Blind equalizers Blind source separation Deconvolution Filtering theory Geophysical signal processing Reflectivity Unsupervised learning Wiener filters |
| title | Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source Separation |
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