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Volumn 31, Issue 6, 2006, Pages 817-819

Maximum-likelihood estimation of Mueller matrices

Author keywords

[No Author keywords available]

Indexed keywords

LINEAR RECONSTRUCTION ALGORITHMS; MUELLER MATRIX; QUANTUM PROCESS TOMOGRAPHY;

EID: 33645768391     PISSN: 01469592     EISSN: None     Source Type: Journal    
DOI: 10.1364/OL.31.000817     Document Type: Article
Times cited : (50)

References (22)
  • 9
    • 84893985904 scopus 로고    scopus 로고
    • R. L. Kosut, I. Walmsley, and H. Rabitz, arXiv.org e-print archive, quant-ph/0411093
    • R. L. Kosut, I. Walmsley, and H. Rabitz, arXiv.org e-print archive, quant-ph/0411093.
  • 11
    • 84893994458 scopus 로고    scopus 로고
    • note
    • In the current literature there is some confusion in the use of terms such as "nominal" Mueller matrix, "physical" Mueller matrix, etc. Here we adopt the terminology of Ref. 12.
  • 15
    • 84894003900 scopus 로고    scopus 로고
    • The literature on ML data analysis and its limitations is vast even in the classical optics context. Many pertinent papers may be found, e.g., by typing "maximum likelihood" on the web search engine of the Journal of the Optical Society of America A.
    • Journal of the Optical Society of America A
  • 19
    • 84894010508 scopus 로고    scopus 로고
    • A. Aiello and J. P. Woerdman, arXiv.org e-print archive, math-ph/0412061 (2004)
    • A. Aiello and J. P. Woerdman, arXiv.org e-print archive, math-ph/0412061 (2004).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.