Due to the computational complexity of the Volterra filter, there are limitations on the
implementation in practice. In this paper, a novel adaptive joint process filter using pipelined …

This paper studies adaptive truncated Volterra filters employing parallel-cascade structures.
Parallel-cascade realizations implement higher order Volterra systems as a parallel …

Nonlinear signal processing is important in various applications, however it usually requires
high computational cost. This paper proposes a low-complexity nonlinear adaptive least …

In this paper, a robust adaptive filter based on kernel risk-sensitive loss for bilinear forms is
proposed. The proposed algorithm, called minimum kernel risk-sensitive loss bilinear form …

The main limits on adaptive Volterra filters are their computational complexity in practical
implementation and significant performance degradation under the impulsive noise …

To overcome the computational complexity of the Volterra filter, a novel adaptive joint
process filter using pipelined bilinear polynomial architecture (JPBPF) is proposed in this …

Due to the high computational complexity required by Volterra filter, some of its practical
implementations consider pipelined adaptive Volterra filter architecture with two layers …

The use of Volterra filters in practical applications is often limited by their high computational
burden. To cope with this problem, many strategies for implementing Volterra filters with …

This paper presents a novel reduced-rank approach for implementing Volterra filters with
reduced complexity. Such an approach is based on the application of the singular value …

This brief presents computationally efficient block-adaptive algorithms for quadratic filters
employing parallel-cascade realizations of the system model. Parallel-cascade realizations …