Quantized kernel maximum correntropy and its mean square convergence analysis
Online vector quantization (VQ) method has been successfully applied to the kernel
adaptive filters (KAFs) for curbing their linearly growing radial basis function (RBF) network …
adaptive filters (KAFs) for curbing their linearly growing radial basis function (RBF) network …
Kernel least mean square based on the Nyström method
The kernel least mean square (KLMS) algorithm is the simplest algorithm in kernel adaptive
filters. However, the network growth of KLMS is still an issue for preventing its online …
filters. However, the network growth of KLMS is still an issue for preventing its online …
Quantised kernel least mean square algorithm with a learning vector strategy
Q Zhang, S Wang - Electronics Letters, 2020 - Wiley Online Library
To decrease the network size of quantised kernel least mean square (QKLMS) dramatically,
the QKLMS algorithm with an online learning vector strategy, which is named LV‐QKLMS, is …
the QKLMS algorithm with an online learning vector strategy, which is named LV‐QKLMS, is …