Through the haze: a non-convex approach to blind gain calibration for linear random sensing models
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Publication:5006491
DOI10.1093/imaiai/iay004zbMath1470.94034arXiv1610.09028OpenAlexW2964212675MaRDI QIDQ5006491
Laurent Jacques, Valerio Cambareri
Publication date: 16 August 2021
Published in: Information and Inference: A Journal of the IMA (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1610.09028
numerical experimentsnon-convex optimizationsample complexityblind calibrationbilinear inverse problems
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