Analysis and design of a signed regressor LMS algorithm for stationary and nonstationary adaptive filtering with correlated Gaussian data
- 1 January 1990
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems
- Vol. 37 (11) , 1367-1374
- https://doi.org/10.1109/31.62411
Abstract
No abstract availableThis publication has 17 references indexed in Scilit:
- A tight upper bound of the average absolute error in a constant step-size sign algorithmIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- Excitation conditions for signed regressor least mean squares adaptationIEEE Transactions on Circuits and Systems, 1988
- Almost sure convergence of a decreasing gain sign algorithm for adaptive filteringIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Dual Sign Algorithm for Adaptive FilteringIEEE Transactions on Communications, 1986
- Optimization of adaptive identification for time-varying filtersIEEE Transactions on Automatic Control, 1986
- On the statistical efficiency of the LMS algorithm with nonstationary inputsIEEE Transactions on Information Theory, 1984
- Some Considerations on the Design of Adaptive Digital Filters Equipped with the Sign AlgorithmIEEE Transactions on Communications, 1984
- Second-order convergence analysis of stochastic adaptive linear filteringIEEE Transactions on Automatic Control, 1983
- Stationary and nonstationary learning characteristics of the LMS adaptive filterProceedings of the IEEE, 1976
- A useful theorem for nonlinear devices having Gaussian inputsIEEE Transactions on Information Theory, 1958