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Showing 1 to 2 of 2 for “"Sparse signal processing"”.
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l0 Sparse signal processing and model selection with applications
Sparse signal processing has far-reaching applications including compressed sensing, media compression/denoising/deblurring, microarray analysis and medical imaging. The main reason for its popularity is that many signals have a sparse representation given that the basis is suitably selected. …
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Sparse seismic signal processing using adaptive dictionaries
… both onshore and offshore, with significant signal processing needed to estimate the properties of earth subsurface via seismic wave propagation. The typical workflow for seismic includes three phases: acquisition, imaging, and interpretation. A high-quality imaging result for interpretation …