[{"publisher":"Springer Nature","doi":"10.1007/978-3-540-30110-3_86","date_created":"2024-10-15T11:20:54Z","oa_version":"None","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783540230564","9783540301103"]},"intvolume":"      3195","author":[{"orcid":"0000-0001-9699-8730","last_name":"Bronstein","full_name":"Bronstein, Alexander","first_name":"Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"},{"last_name":"Bronstein","full_name":"Bronstein, Michael M.","first_name":"Michael M."},{"first_name":"Michael","full_name":"Zibulevsky, Michael","last_name":"Zibulevsky"},{"full_name":"Zeevi, Yehoshua Y.","last_name":"Zeevi","first_name":"Yehoshua Y."}],"publication_status":"published","citation":{"ieee":"A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “QML blind deconvolution: Asymptotic analysis,” in <i>Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, Granada, Spain, 2004, vol. 3195, pp. 677–684.","chicago":"Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “QML Blind Deconvolution: Asymptotic Analysis.” In <i>Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, 3195:677–684. Springer Nature, 2004. <a href=\"https://doi.org/10.1007/978-3-540-30110-3_86\">https://doi.org/10.1007/978-3-540-30110-3_86</a>.","mla":"Bronstein, Alex M., et al. “QML Blind Deconvolution: Asymptotic Analysis.” <i>Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, vol. 3195, Springer Nature, 2004, pp. 677–684, doi:<a href=\"https://doi.org/10.1007/978-3-540-30110-3_86\">10.1007/978-3-540-30110-3_86</a>.","ista":"Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YY. 2004. QML blind deconvolution: Asymptotic analysis. Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation. ICA: Independent Component Analysis and Blind Signal Separation , LNCS, vol. 3195, 677–684.","short":"A.M. Bronstein, M.M. Bronstein, M. Zibulevsky, Y.Y. Zeevi, in:, Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation, Springer Nature, 2004, pp. 677–684.","apa":"Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., &#38; Zeevi, Y. Y. (2004). QML blind deconvolution: Asymptotic analysis. In <i>Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation</i> (Vol. 3195, pp. 677–684). Granada, Spain: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-540-30110-3_86\">https://doi.org/10.1007/978-3-540-30110-3_86</a>","ama":"Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YY. QML blind deconvolution: Asymptotic analysis. In: <i>Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation</i>. Vol 3195. Springer Nature; 2004:677–684. doi:<a href=\"https://doi.org/10.1007/978-3-540-30110-3_86\">10.1007/978-3-540-30110-3_86</a>"},"month":"10","status":"public","publication":"Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation","volume":3195,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"date_published":"2004-10-27T00:00:00Z","article_processing_charge":"No","day":"27","title":"QML blind deconvolution: Asymptotic analysis","conference":{"name":"ICA: Independent Component Analysis and Blind Signal Separation ","start_date":"2004-09-22","location":"Granada, Spain","end_date":"2004-09-24"},"type":"conference","quality_controlled":"1","scopus_import":"1","_id":"18335","alternative_title":["LNCS"],"page":"677–684","extern":"1","abstract":[{"lang":"eng","text":"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."}],"date_updated":"2024-11-19T08:28:11Z","year":"2004"}]