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Showing 1 to 2 of 2 for “"Low-rank recovery"”.

  1. Advanced imaging via multiplexed sensing and compressive sensing

    … cameras (e.g., pin-hole and lens cameras) follow the one-object-point-to-one-image-point or one-to-one (OTO) mapping model. Multipled sensing and compressive sensing attempt to improve conventional OTO cameras by exploring other object-to-image mapping models, such as one-to-multiple (OTM) …

    uiuc Repository record for Advanced imaging via multiplexed sensing and compressive sensing (opens in a new tab)

  2. Multichannel blind deconvolution in underwater acoustic channels

    … which in turn can be recast as recovering a low-rank matrix from a set of linear observations. In the second approach, we formed a cross-correlation matrix from the channel outputs and solved the problem by minimizing a quadratic function over a non-convex set. We demonstrated the efficiency …

    gatech Repository record for Multichannel blind deconvolution in underwater acoustic channels (opens in a new tab)