A neural network approach to blind identification of stochastic and deterministic signals
- 17 December 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 892-896
- https://doi.org/10.1109/acssc.1994.471589
Abstract
No abstract availableThis publication has 9 references indexed in Scilit:
- Separation Of Stochastic ProcessesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Source separation using higher order momentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Efficient closed-form estimation of multivariate moving-average processes using higher order statisticsIEEE Transactions on Signal Processing, 1994
- Blind separation of sources, part III: Stability analysisSignal Processing, 1991
- Blind separation of sources, part II: Problems statementSignal Processing, 1991
- Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architectureSignal Processing, 1991
- Indeterminacy and identifiability of blind identificationIEEE Transactions on Circuits and Systems, 1991
- On the identifiability of non-Gaussian ARMA models using cumulantsIEEE Transactions on Automatic Control, 1990
- Unsupervised LearningNeural Computation, 1989