29 citations · 40 across the 3 of their papers we have counts for
4 papers
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces
Kan Li, Jose C. Principe
Kernel methods form a theoretically-grounded, powerful and versatile framework to solve nonlinear problems in signal processing and machine learning. The standard approach relies o…
No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features
Kan Li, Jose C. Principe
Kernel methods form a powerful, versatile, and theoretically-grounded unifying framework to solve nonlinear problems in signal processing and machine learning. The standard approac…
Functional Bayesian Filter
Kan Li, Jose C. Principe
We present a general nonlinear Bayesian filter for high-dimensional state estimation using the theory of reproducing kernel Hilbert space (RKHS). Applying kernel method and the rep…
A novel normalized sign algorithm for system identification under impulsive noise interference
Lu Lu, Haiquan Zhao, Kan Li +1
To overcome the performance degradation of adaptive filtering algorithms in the presence of impulsive noise, a novel normalized sign algorithm (NSA) based on a convex combination s…