Abstract Self-interference (SI) cancellation (SIC) is the key technology for achieving full-
duplex (FD) communications in underwater acoustic systems. In practice, SI channels are …

In this paper, the kernel proportionate normalized least mean square algorithm (KPNLMS) is
proposed. The proportionate factors are used in order to increase the convergence speed …

In this paper, we propose an efficient structure of the kernel recursive least squares (KRLS)
adaptive filters for implementing with low and fixed amount of computational complexity. The …

An efficient implementation of the kernel affine projection algorithm Page 1 An efficient
implementation of the kernel affine projection algorithm Felix Albu, Dinu Coltuc, Marius Rotaru …

Aiming at improving the performance of the nonlinear adaptive filtering under the alpha-
stable distribution noise environment, Kernel Affine Projection P-norm (KAPP) algorithm …

In this paper, we propose a mixture structure of the linear and kernel adaptive fiilters for
improving the convergence characteristics of the kernel normalized least mean square …

In this paper, we consider the characteristics of the kernel adaptive filters for the mixture of
linear and non-linear environments. We first consider employing a linear kernel as one of …

In this paper, we propose an implementation method of kernel adaptive filters by fixing the
filter order with lower computational complexity. Kernel adaptive filters are used for adaptive …

In this paper, we propose a method for improving the convergence characteristics of the
kernel least mean square (KLMS), especially, kernel nomalized LMS (KNLMS) adaptive …

Kernel RLS-DCD適応フィルタの収束特性に関する検討 | CiNii Research CiNii 国立情報学研究所
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