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Showing 1 to 2 of 2 for “"Blind gain and phase calibration"”.
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Bilinear inverse problems with sparsity: Optimal identifiability conditions and efficient recovery
… for BIPs. We consider two types of BIPs, blind deconvolution (BD) and blind gain and phase calibration (BGPC), with subspace or sparsity structures. Our contributions are twofold: we derive optimal identifiability conditions, and propose efficient algorithms that solve these problems. In …
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A unified framework for identifiability analysis in bilinear inverse problems
… of transformations. Then we derive necessary and sufficient conditions for such identifiability, i.e., the conditions under which the solutions can be uniquely determined up to the transformation group. Blind gain and phase calibration (BGPC) is a structured bilinear inverse problem, which …