@article{18368,
  abstract     = {Presented here is a block-coordinate version of the relative Newton method, recently proposed for quasi-maximum likelihood blind source separation. Special structure of the Hessian matrix allows performing block-coordinate Newton descent efficiently. Simulations show that typically our method converges in near constant number of iterations (order of 10) independently of the problem size.},
  author       = {Bronstein, Alexander and Bronstein, Michael M and Zibulevsky, Michael},
  issn         = {0165-1684},
  journal      = {Signal Processing},
  number       = {8},
  pages        = {1447--1459},
  publisher    = {Elsevier},
  title        = {{Blind source separation using block-coordinate relative Newton method}},
  doi          = {10.1016/j.sigpro.2004.05.019},
  volume       = {84},
  year         = {2004},
}