---
res:
  bibo_abstract:
  - 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.@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
  bibo_doi: 10.1007/978-3-540-30110-3_52
  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
  dct_language: eng
  dct_publisher: Springer Nature@
  dct_title: Blind source separation using the block-coordinate relative Newton method@
...