We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Compressed sensing is a recent technique by which signals can be measured at a rate proportional to their information content, combining the important task of compression directly ...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner
The Integral Equation Model (IEM) predicts the normalized radar cross section (NRCS) of dielectric surfaces given surface and radar parameters. To derive the surface parameters fr...
Benjamin Seppke, Leonie Dreschler-Fischer, Jo-Ann ...