====== SAIG-10 Presentations (2009) ======

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<fc #008000>SAIG10 (2009) Agenda</fc>\\
  * {{:sponsorsandstudents:saig10p:agenda.pdf|Presentations Agenda}}

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<fc #008000>M. D. Sacchi</fc>\\
  * {{:sponsorsandstudents:saig10p:sacchi1.pdf|Adaptive Filtering for SNR Enhancement}}
  * {{:sponsorsandstudents:saig10p:sacchi2.pdf|AVO Preserving Radon Transform}}
  * {{:sponsorsandstudents:saig10p:sacchi3.pdf|Regularization with FX Gabor Operators}}



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<fc #008000>Sam Kaplan</fc>\\
  * {{:sponsorsandstudents:saig10p:sam1.pdf|Least-Squares Shot Profile Migration, with an Application to Blended Acquisition}}
  * {{:sponsorsandstudents:saig10p:sam2.pdf|SAIG Migration (sg-migration)}}
  * {{:sponsorsandstudents:saig10p:sam3.pdf|Sparse Coding for Data-Driven Coherent and Incoherent Noise Attenuation}}

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<fc #008000>Mostafa Naghizadeh</fc>\\
  * {{:sponsorsandstudents:saig10p:mostafa1.pdf|Beyond Alias Hierarchical Scale Curvelet Interpolation of Regularly and Irregularly Sampled Seismic Data}}
  * {{:sponsorsandstudents:saig10p:mostafa2.pdf|Sampling Considerations for Band-Limited Fourier Reconstruction of Aliased Seismic Data}}

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<fc #008000>Amsalu Anagaw</fc>\\
  * {{:sponsorsandstudents:saig10p:amsalu1.pdf|Total Variation Regularization and Adjoint State Methods for Seismic Wavefield Imaging}}

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<fc #008000>David Bonar</fc>\\
  * {{:sponsorsandstudents:saig10p:bonar1.pdf|Removal of Short Period Multiples Via Perdictive Deconvolution After Pre-Stack Regularization}}
  * {{:sponsorsandstudents:saig10p:bonar2.pdf|Sparse Decomposition of Seismic Signals Using A Ricker Wavelet Representation}}


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<fc #008000>Vincente E. Oropeza</fc>\\
  * {{:sponsorsandstudents:saig10p:oropez1.pdf|Multifrequency Singular Spectrum Analysis}}

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<fc #008000>I. Vera Rodriguez</fc>\\
  * {{:sponsorsandstudents:saig10p:vera1.pdf|Resolution Analysis of the Seismic Moment Tensor Inversion from Single Borehole Data}}

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<fc #008000>Wubshet Alemie</fc>\\
  * {{:sponsorsandstudents:saig10p:wubshet1.pdf|Including Sparsity and Correlation in Three Term AVO Inversion Problem Using Trivariate Caunchy Prior Distribution}}



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