The Estimation Performance of Nonlinear Least Squares for Phase Retrieval

DOI10.1109/TIT.2020.2983562zbMath1457.94041arXiv1904.09711OpenAlexW3013875899MaRDI QIDQ5138944

Zhiqiang Xu, Meng Huang

Publication date: 4 December 2020

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.09711

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Random matrices (probabilistic aspects) (60B20) General nonlinear regression (62J02) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Performance bounds of the intensity-based estimators for noisy phase retrieval ⋮ Uniqueness and stability for the solution of a nonlinear least squares problem ⋮ Unnamed Item

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