---
res:
  bibo_abstract:
  - Blind deconvolution is considered as a problem of quasi maximum likelihood (QML)
    estimation of the restoration kernel. Simple closed-form expressions for the asymptotic
    estimation error are derived. The asymptotic performance bounds coincide with
    the Cramér-Rao bounds, when the true ML estimator is used. Conditions for asymptotic
    stability of the QML estimator are derived. Special cases when the estimator is
    super-efficient are discussed.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Alexander
      foaf_name: Bronstein, Alexander
      foaf_surname: Bronstein
      foaf_workInfoHomepage: http://www.librecat.org/personId=58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
    orcid: 0000-0001-9699-8730
  - foaf_Person:
      foaf_givenName: Michael M.
      foaf_name: Bronstein, Michael M.
      foaf_surname: Bronstein
  - foaf_Person:
      foaf_givenName: Michael
      foaf_name: Zibulevsky, Michael
      foaf_surname: Zibulevsky
  - foaf_Person:
      foaf_givenName: Yehoshua Y.
      foaf_name: Zeevi, Yehoshua Y.
      foaf_surname: Zeevi
  bibo_doi: 10.1007/978-3-540-30110-3_86
  bibo_volume: 3195
  dct_date: 2004^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0302-9743
  - http://id.crossref.org/issn/1611-3349
  - http://id.crossref.org/issn/9783540230564
  - http://id.crossref.org/issn/9783540301103
  dct_language: eng
  dct_publisher: Springer Nature@
  dct_title: 'QML blind deconvolution: Asymptotic analysis@'
...