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.