{"conference":{"location":"Granada, Spain","name":"ICA: Independent Component Analysis and Blind Signal Separation","end_date":"2004-09-24","start_date":"2004-09-22"},"user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","oa_version":"None","article_processing_charge":"No","citation":{"mla":"Bronstein, Alex M., et al. “Blind Deconvolution Using the Relative Newton Method.” 5th International Conference on Independent Component Analysis and Blind Signal Separation, vol. 3195, Springer Nature, 2004, pp. 554–561, doi:10.1007/978-3-540-30110-3_71.","chicago":"Bronstein, Alex M., Michael M. Bronstein, and Michael Zibulevsky. “Blind Deconvolution Using the Relative Newton Method.” In 5th International Conference on Independent Component Analysis and Blind Signal Separation, 3195:554–561. Berlin, Heidelberg: Springer Nature, 2004. https://doi.org/10.1007/978-3-540-30110-3_71.","apa":"Bronstein, A. M., Bronstein, M. M., & Zibulevsky, M. (2004). Blind deconvolution using the relative Newton method. In 5th International Conference on Independent Component Analysis and Blind Signal Separation (Vol. 3195, pp. 554–561). Berlin, Heidelberg: Springer Nature. https://doi.org/10.1007/978-3-540-30110-3_71","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.","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.","ama":"Bronstein AM, Bronstein MM, Zibulevsky M. Blind deconvolution using the relative Newton method. In: 5th International Conference on Independent Component Analysis and Blind Signal Separation. Vol 3195. Berlin, Heidelberg: Springer Nature; 2004:554–561. doi:10.1007/978-3-540-30110-3_71","ieee":"A. M. Bronstein, M. M. Bronstein, and M. Zibulevsky, “Blind deconvolution using the relative Newton method,” in 5th International Conference on Independent Component Analysis and Blind Signal Separation, Granada, Spain, 2004, vol. 3195, pp. 554–561."},"_id":"18334","scopus_import":"1","date_updated":"2024-12-02T14:15:23Z","type":"conference","date_created":"2024-10-15T11:20:54Z","publication_identifier":{"issn":["0302-9743"],"isbn":["9783540230564","9783540301103"],"eissn":["1611-3349"]},"author":[{"last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730","first_name":"Alexander","full_name":"Bronstein, Alexander"},{"last_name":"Bronstein","full_name":"Bronstein, Michael M.","first_name":"Michael M."},{"last_name":"Zibulevsky","first_name":"Michael","full_name":"Zibulevsky, Michael"}],"page":"554–561","publication":"5th International Conference on Independent Component Analysis and Blind Signal Separation","language":[{"iso":"eng"}],"publication_status":"published","publisher":"Springer Nature","title":"Blind deconvolution using the relative Newton method","date_published":"2004-10-24T00:00:00Z","alternative_title":["LNCS"],"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"}],"intvolume":" 3195","quality_controlled":"1","day":"24","status":"public","month":"10","extern":"1","doi":"10.1007/978-3-540-30110-3_71","volume":3195,"year":"2004","place":"Berlin, Heidelberg"}