44 citations · 126 across the 16 of their papers we have counts for
Showing 2013Show all
2 papers · 1 filter
cs.IT2013
Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques
R. C. de Lamare, M. Yukawa, I. Yamada
In this paper, we propose a novel reduced-rank adaptive filtering algorithm by blending the idea of the Krylov subspace methods with the set-theoretic adaptive filtering framework.…
stat.AP2013★ 15 cited
Performance of the stochastic MV-PURE estimator in highly noisy settings
Tomasz Piotrowski, Isao Yamada
The stochastic minimum-variance pseudo-unbiased reduced-rank estimator (stochastic MV-PURE estimator) has been developed to provide linear estimation with robustness against high n…