PDMM: A Novel Primal-Dual Majorization-Minimization Algorithm for Poisson Phase-Retrieval Problem

In this paper, we introduce a novel iterative algorithm for the problem of phase-retrieval where the measurements consist of only the magnitude of linear function of the unknown signal, and the noise in the measurements follow Poisson distribution. The proposed algorithm is based on the principle of...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 70; S. 1241 - 1255
Hauptverfasser:	Fatima, Ghania, Li, Zongyu, Arora, Aakash, Babu, Prabhu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Data models Extraterrestrial measurements Fenchel dual representation Iterative algorithms Iterative methods Linear functions Majorization-Minimization (MM) Maximum likelihood estimation Minimization Noise measurement Optimization Phase measurement Phase-retrieval Poisson data model Poisson distribution Retrieval Saddle points Saddle-point problem Signal processing algorithms
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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