Multichannel blind deconvolution and equalization using the natural gradient
- 22 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableThis publication has 10 references indexed in Scilit:
- Second order blind equalization in multiple input multiple output FIR systems: a weighted least squares approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Blind equalization and channel estimation for multiple-input multiple-output communications systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Quasi-Newton filtered-error and filtered-regressor algorithms for adaptive equalization and deconvolutionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Natural Gradient Works Efficiently in LearningNeural Computation, 1998
- Equivariant adaptive source separationIEEE Transactions on Signal Processing, 1996
- Fast maximum likelihood for blind identification of multiple FIR channelsIEEE Transactions on Signal Processing, 1996
- A least-squares approach to blind channel identificationIEEE Transactions on Signal Processing, 1995
- An Information-Maximization Approach to Blind Separation and Blind DeconvolutionNeural Computation, 1995
- EVAM: an eigenvector-based algorithm for multichannel blind deconvolution of input colored signalsIEEE Transactions on Signal Processing, 1995
- Blind identification and equalization based on second-order statistics: a time domain approachIEEE Transactions on Information Theory, 1994