You're currently viewing an old version of this dataset. To see the current version, click here.

Online Nonlinear Estimation via Iterative L2-Space Projections

The proposed online learning paradigm is a significant extension of the conventional kernel adaptive filtering framework from RKHS to the space L2(RL, dµ) which has no reproducing kernel and which induces the best geometry in the sense of decorrelation.

Data and Resources

Cite this as

Motoya Ohnishi, Masahiro Yukawa (2024). Dataset: Online Nonlinear Estimation via Iterative L2-Space Projections. https://doi.org/10.57702/0g1gzmlc

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1109/TSP.2018.2846271
Author Motoya Ohnishi
More Authors
Masahiro Yukawa