Phase-gradient algorithm as an optimal estimator of the phase derivative

Autor:	Paul H. Eichel, Charles V. Jakowatz
Rok vydání:	2009
Předmět:	Minimum-variance unbiased estimator Computer science Stein's unbiased risk estimate Linear system ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Phase (waves) Estimator Derivative Minimax estimator Phase retrieval Algorithm Atomic and Molecular Physics and Optics
Zdroj:	Optics letters. 14(20)
ISSN:	0146-9592
Popis:	The phase-gradient algorithm represents a powerful new signal-processing technique with applications to aperture-synthesis imaging. These include, for example, synthetic-aperture-radar phase correction and stellar-image reconstruction. The algorithm combines redundant information present in the data to arrive at an estimate of the phase derivative. We show that the estimator is in fact a linear, minimum-variance estimator of the phase derivative.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d767125c71a6e9425a5acca17f246a7 https://pubmed.ncbi.nlm.nih.gov/19753068 Zobrazit plný text záznamu