Minimum entropy estimation as a near maximum-likelihood method and its application in system identification with non-Gaussian noise

Minh Ta, Victor E. DeBrunner. Minimum entropy estimation as a near maximum-likelihood method and its application in system identification with non-Gaussian noise. In 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, Montreal, Quebec, Canada, May 17-21, 2004. pages 545-548, IEEE, 2004. [doi]

@inproceedings{TaD04,
  title = {Minimum entropy estimation as a near maximum-likelihood method and its application in system identification with non-Gaussian noise},
  author = {Minh Ta and Victor E. DeBrunner},
  year = {2004},
  doi = {10.1109/ICASSP.2004.1326315},
  url = {http://dx.doi.org/10.1109/ICASSP.2004.1326315},
  researchr = {https://researchr.org/publication/TaD04},
  cites = {0},
  citedby = {0},
  pages = {545-548},
  booktitle = {2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, Montreal, Quebec, Canada, May 17-21, 2004},
  publisher = {IEEE},
  isbn = {0-7803-8484-9},
}