2015
An efficient kernel normalized least mean square algorithm with compactly supported kernel
ICASSP 2015accepted
We investigate the use of compactly supported kernels (CSKs) for the kernel normalized least mean square (KNLMS) algorithm proposed initially by Richard et al. in 2009. The use of CSKs yields sparse kernelized input vectors, offering an opportunity for complexity reduction. We propose a simple two-s…