[{"publication_identifier":{"isbn":["9783540230564"],"eisbn":["9783540301103"],"issn":["0302-9743"],"eissn":["1611-3349"]},"day":"27","citation":{"mla":"Bronstein, Alex M., et al. “Blind Source Separation Using the Block-Coordinate Relative Newton Method.” <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, vol. 3195, Springer Nature, 2004, pp. 406–413, doi:<a href=\"https://doi.org/10.1007/978-3-540-30110-3_52\">10.1007/978-3-540-30110-3_52</a>.","ista":"Bronstein AM, Bronstein MM, Zibulevsky M. 2004. Blind source separation using the block-coordinate relative Newton method. 5th International Conference on Independent Component Analysis and Blind Signal Separation. ICA: Independent Component Analysis and Blind Signal Separation, LNCS, vol. 3195, 406–413.","ieee":"A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind source separation using the block-coordinate relative Newton method,” in <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, Granada, Spain, 2004, vol. 3195, pp. 406–413.","short":"A.M. Bronstein, M.M. Bronstein, M. Zibulevsky, in:, 5th International Conference on Independent Component Analysis and Blind Signal Separation, Springer Nature, 2004, pp. 406–413.","apa":"Bronstein, A. M., Bronstein, M. M., &#38; Zibulevsky, M. (2004). Blind source separation using the block-coordinate relative Newton method. In <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i> (Vol. 3195, pp. 406–413). Granada, Spain: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-540-30110-3_52\">https://doi.org/10.1007/978-3-540-30110-3_52</a>","chicago":"Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “Blind Source Separation Using the Block-Coordinate Relative Newton Method.” In <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, 3195:406–413. Springer Nature, 2004. <a href=\"https://doi.org/10.1007/978-3-540-30110-3_52\">https://doi.org/10.1007/978-3-540-30110-3_52</a>.","ama":"Bronstein AM, Bronstein MM, Zibulevsky M. Blind source separation using the block-coordinate relative Newton method. In: <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>. Vol 3195. Springer Nature; 2004:406–413. doi:<a href=\"https://doi.org/10.1007/978-3-540-30110-3_52\">10.1007/978-3-540-30110-3_52</a>"},"scopus_import":"1","language":[{"iso":"eng"}],"article_processing_charge":"No","_id":"18332","date_updated":"2024-12-02T14:30:47Z","year":"2004","doi":"10.1007/978-3-540-30110-3_52","month":"10","title":"Blind source separation using the block-coordinate relative Newton method","publisher":"Springer Nature","user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","extern":"1","page":"406–413","author":[{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","last_name":"Bronstein","orcid":"0000-0001-9699-8730","first_name":"Alexander"},{"full_name":"Bronstein, Michael M.","last_name":"Bronstein","first_name":"Michael M."},{"last_name":"Zibulevsky","full_name":"Zibulevsky, Michael","first_name":"Michael"}],"intvolume":"      3195","type":"conference","alternative_title":["LNCS"],"date_created":"2024-10-15T11:20:54Z","volume":3195,"date_published":"2004-10-27T00:00:00Z","publication":"5th International Conference on Independent Component Analysis and Blind Signal Separation","publication_status":"published","status":"public","quality_controlled":"1","conference":{"start_date":"2004-09-22","location":"Granada, Spain","name":"ICA: Independent Component Analysis and Blind Signal Separation","end_date":"2004-09-24"},"abstract":[{"text":"Presented here is a generalization of the modified relative Newton method, recently proposed in [1] for quasi-maximum likelihood blind source separation. Special structure of the Hessian matrix allows to perform block-coordinate Newton descent, which significantly reduces the algorithm computational complexity and boosts its performance. Simulations based on artificial and real data show that the separation quality using the proposed algorithm outperforms other accepted blind source separation methods.","lang":"eng"}],"oa_version":"None"},{"date_updated":"2024-11-19T14:12:31Z","_id":"18333","citation":{"ama":"Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YY. Optimal sparse representations for blind deconvolution of images. In: <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>. Vol 3195. Springer Nature; 2004:500-507. doi:<a href=\"https://doi.org/10.1007/978-3-540-30110-3_64\">10.1007/978-3-540-30110-3_64</a>","chicago":"Bronstein, Alex M., Michael M. Bronstein, Michael Zibulevsky, and Yehoshua Y. Zeevi. “Optimal Sparse Representations for Blind Deconvolution of Images.” In <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, 3195:500–507. Springer Nature, 2004. <a href=\"https://doi.org/10.1007/978-3-540-30110-3_64\">https://doi.org/10.1007/978-3-540-30110-3_64</a>.","apa":"Bronstein, A. M., Bronstein, M. M., Zibulevsky, M., &#38; Zeevi, Y. Y. (2004). Optimal sparse representations for blind deconvolution of images. In <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i> (Vol. 3195, pp. 500–507). Granada, Spain: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-540-30110-3_64\">https://doi.org/10.1007/978-3-540-30110-3_64</a>","short":"A.M. Bronstein, M.M. Bronstein, M. Zibulevsky, Y.Y. Zeevi, in:, 5th International Conference on Independent Component Analysis and Blind Signal Separation, Springer Nature, 2004, pp. 500–507.","ieee":"A. M. Bronstein, M. M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal sparse representations for blind deconvolution of images,” in <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, Granada, Spain, 2004, vol. 3195, pp. 500–507.","mla":"Bronstein, Alex M., et al. “Optimal Sparse Representations for Blind Deconvolution of Images.” <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, vol. 3195, Springer Nature, 2004, pp. 500–07, doi:<a href=\"https://doi.org/10.1007/978-3-540-30110-3_64\">10.1007/978-3-540-30110-3_64</a>.","ista":"Bronstein AM, Bronstein MM, Zibulevsky M, Zeevi YY. 2004. Optimal sparse representations for blind deconvolution of images. 5th International Conference on Independent Component Analysis and Blind Signal Separation. ICA: Independent Component Analysis and Blind Signal Separation, LNCS, vol. 3195, 500–507."},"scopus_import":"1","article_processing_charge":"No","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0302-9743"],"eisbn":["9783540301103"],"eissn":["1611-3349"],"isbn":["9783540230564"]},"day":"27","title":"Optimal sparse representations for blind deconvolution of images","month":"10","publisher":"Springer Nature","user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","year":"2004","doi":"10.1007/978-3-540-30110-3_64","alternative_title":["LNCS"],"date_created":"2024-10-15T11:20:54Z","type":"conference","intvolume":"      3195","author":[{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","full_name":"Bronstein, Alexander","last_name":"Bronstein","first_name":"Alexander"},{"full_name":"Bronstein, Michael M.","last_name":"Bronstein","first_name":"Michael M."},{"full_name":"Zibulevsky, Michael","last_name":"Zibulevsky","first_name":"Michael"},{"first_name":"Yehoshua Y.","full_name":"Zeevi, Yehoshua Y.","last_name":"Zeevi"}],"extern":"1","page":"500-507","quality_controlled":"1","status":"public","conference":{"end_date":"2004-09-24","name":"ICA: Independent Component Analysis and Blind Signal Separation","location":"Granada, Spain","start_date":"2004-09-22"},"abstract":[{"lang":"eng","text":"The relative Newton algorithm, previously proposed for quasi maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind deconvolution of images. Smooth approximation of the absolute value is used in modelling the log probability density function, which is suitable for sparse sources. We propose a method of sparsification, which allows blind deconvolution of sources with arbitrary distribution, and show how to find optimal sparsifying transformations by training."}],"oa_version":"None","publication_status":"published","publication":"5th International Conference on Independent Component Analysis and Blind Signal Separation","date_published":"2004-10-27T00:00:00Z","volume":3195},{"doi":"10.1007/978-3-540-30110-3_71","month":"10","day":"24","article_processing_charge":"No","language":[{"iso":"eng"}],"scopus_import":"1","date_published":"2004-10-24T00:00:00Z","oa_version":"None","conference":{"location":"Granada, Spain","start_date":"2004-09-22","end_date":"2004-09-24","name":"ICA: Independent Component Analysis and Blind Signal Separation"},"quality_controlled":"1","status":"public","page":"554–561","extern":"1","author":[{"last_name":"Bronstein","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","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"}],"intvolume":"      3195","alternative_title":["LNCS"],"year":"2004","user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","publisher":"Springer Nature","title":"Blind deconvolution using the relative Newton method","publication_identifier":{"eissn":["1611-3349"],"issn":["0302-9743"],"isbn":["9783540230564","9783540301103"]},"citation":{"short":"A.M. Bronstein, M.M. Bronstein, M. Zibulevsky, in:, 5th International Conference on Independent Component Analysis and Blind Signal Separation, Springer Nature, Berlin, Heidelberg, 2004, pp. 554–561.","ieee":"A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind deconvolution using the relative Newton method,” in <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, Granada, Spain, 2004, vol. 3195, pp. 554–561.","mla":"Bronstein, Alex M., et al. “Blind Deconvolution Using the Relative Newton Method.” <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, vol. 3195, Springer Nature, 2004, pp. 554–561, doi:<a href=\"https://doi.org/10.1007/978-3-540-30110-3_71\">10.1007/978-3-540-30110-3_71</a>.","ista":"Bronstein AM, Bronstein MM, Zibulevsky M. 2004. Blind deconvolution using the relative Newton method. 5th International Conference on Independent Component Analysis and Blind Signal Separation. ICA: Independent Component Analysis and Blind Signal Separation, LNCS, vol. 3195, 554–561.","chicago":"Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “Blind Deconvolution Using the Relative Newton Method.” In <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>, 3195:554–561. Berlin, Heidelberg: Springer Nature, 2004. <a href=\"https://doi.org/10.1007/978-3-540-30110-3_71\">https://doi.org/10.1007/978-3-540-30110-3_71</a>.","apa":"Bronstein, A. M., Bronstein, M. M., &#38; Zibulevsky, M. (2004). Blind deconvolution using the relative Newton method. In <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i> (Vol. 3195, pp. 554–561). Berlin, Heidelberg: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-540-30110-3_71\">https://doi.org/10.1007/978-3-540-30110-3_71</a>","ama":"Bronstein AM, Bronstein MM, Zibulevsky M. Blind deconvolution using the relative Newton method. In: <i>5th International Conference on Independent Component Analysis and Blind Signal Separation</i>. Vol 3195. Berlin, Heidelberg: Springer Nature; 2004:554–561. doi:<a href=\"https://doi.org/10.1007/978-3-540-30110-3_71\">10.1007/978-3-540-30110-3_71</a>"},"_id":"18334","date_updated":"2024-12-02T14:15:23Z","volume":3195,"publication":"5th International Conference on Independent Component Analysis and Blind Signal Separation","publication_status":"published","abstract":[{"text":"We propose a relative optimization framework for quasi maximum likelihood blind deconvolution and the relative Newton method as its particular instance. Special Hessian structure allows its fast approximate construction and inversion with complexity comparable to that of gradient methods. The use of rational IIR restoration kernels provides a richer family of filters than the traditionally used FIR kernels. Smoothed absolute value and the smoothed deadzone functions allow accurate and robust deconvolution of super- and sub-Gaussian sources, respectively. Simulation results demonstrate the efficiency of the proposed methods.","lang":"eng"}],"place":"Berlin, Heidelberg","type":"conference","date_created":"2024-10-15T11:20:54Z"},{"citation":{"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.","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>.","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.","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.","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>","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>.","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>"},"scopus_import":"1","article_processing_charge":"No","language":[{"iso":"eng"}],"day":"27","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783540230564","9783540301103"]},"date_updated":"2024-11-19T08:28:11Z","_id":"18335","year":"2004","doi":"10.1007/978-3-540-30110-3_86","title":"QML blind deconvolution: Asymptotic analysis","month":"10","publisher":"Springer Nature","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","last_name":"Bronstein","orcid":"0000-0001-9699-8730","first_name":"Alexander"},{"first_name":"Michael M.","last_name":"Bronstein","full_name":"Bronstein, Michael M."},{"full_name":"Zibulevsky, Michael","last_name":"Zibulevsky","first_name":"Michael"},{"first_name":"Yehoshua Y.","full_name":"Zeevi, Yehoshua Y.","last_name":"Zeevi"}],"page":"677–684","extern":"1","alternative_title":["LNCS"],"date_created":"2024-10-15T11:20:54Z","type":"conference","intvolume":"      3195","publication":"Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation","date_published":"2004-10-27T00:00:00Z","volume":3195,"status":"public","conference":{"end_date":"2004-09-24","name":"ICA: Independent Component Analysis and Blind Signal Separation ","location":"Granada, Spain","start_date":"2004-09-22"},"quality_controlled":"1","oa_version":"None","abstract":[{"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.","lang":"eng"}],"publication_status":"published"}]