Distributed Sensing of Signals Linked by Sparse Filtering

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Recent sampling results enable the reconstruction of signals composed of streams of fixed-shaped pulses. These results have found applications in topics as varied as channel estimation, biomedical imaging and radio astronomy. However, in many real signals, ...

The present invention concerns a method of method of relighting a media item comprising media elements. The method comprises, for at least some of the media elements: determining, in a first signal domain, a light transport function describing the appearan ...

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We propose a new, cost-efficient method for computing back projections in parallel-ray X-ray CT. Forward and back projections are the basis of almost all X-ray CT reconstruction methods, but computing these accurately is costly. In the special case of para ...

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Foundations of signal processing are heavily based on Shannon's sampling theorem for acquisition, representation and reconstruction. This theorem states that signals should not contain frequency components higher than the Nyquist rate, which is half of the ...

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Distributed Sensing of Signals Linked by Sparse Filtering

Chattez avec Graph Search

Sampling and Exact Reconstruction of Pulses with Variable Width

Media item relighting technique

Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation

High-Quality Parallel-Ray x-Ray CT Back Projection Using Optimized Interpolation

Translating Hedgehog in Cancer: Controlling Protein Synthesis

Phage Selection of Bicyclic Peptide Ligands of the Notch1 Receptor

Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization

Proteomics and circadian rhythms: It's all about signaling!