Asymptotic convergence analysis of the projection approximation subspace tracking algorithms
- 1 April 1996
- journal article
- Published by Elsevier in Signal Processing
- Vol. 50 (1-2) , 123-136
- https://doi.org/10.1016/0165-1684(96)00008-4
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- Projection approximation subspace trackingIEEE Transactions on Signal Processing, 1995
- Fast subspace decompositionIEEE Transactions on Signal Processing, 1994
- Global analysis of Oja's flow for neural networksIEEE Transactions on Neural Networks, 1994
- An updating algorithm for subspace trackingIEEE Transactions on Signal Processing, 1992
- Adaptation dynamics of the spherical subspace trackerIEEE Transactions on Signal Processing, 1992
- Optimal unsupervised learning in a single-layer linear feedforward neural networkNeural Networks, 1989
- Adaptive eigensubspace algorithms for direction or frequency estimation and trackingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrixJournal of Mathematical Analysis and Applications, 1985
- Simplified neuron model as a principal component analyzerJournal of Mathematical Biology, 1982
- Analysis of recursive stochastic algorithmsIEEE Transactions on Automatic Control, 1977