Adaptive filter theory
Description and generation of spherically invariant speech-model signals
Signal Processing
Robust regression and outlier detection
Robust regression and outlier detection
Acoustic MIMO Signal Processing (Signals and Communication Technology)
Acoustic MIMO Signal Processing (Signals and Communication Technology)
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Transient analysis of adaptive filters with error nonlinearities
IEEE Transactions on Signal Processing
A New Robust Variable Step-Size NLMS Algorithm
IEEE Transactions on Signal Processing
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Hi-index | 35.68 |
We present a fast robust recursive least-squares (FRRLS) algorithm based on a recently introduced new framework for designing robust adaptive filters. The algorithm is the result of minimizing a cost function subject to a time-dependent constraint on the norm of the filter update. Although the characteristics of the exact solution to this problem are known, there is no closed-form solution in general. However, the approximate solution we propose is very close to the optimal one. We also present some theoretical results regarding the asymptotic behavior of the algorithm. The FRRLS is then tested in different environments for system identification and acoustic echo cancellation applications.