A sound processing node for an arrangement of sound processing nodes is disclosed. The
sound processing nodes being configured to receive a plurality of sound signals, wherein …

The so-called constrained least mean-square algorithm is one of the most commonly used
linear-equality-constrained adaptive filtering algorithms. Its main advantages are …

This paper investigates a countermeasure model between a multistatic multiple-input
multiple-output (MIMO) radar network and multiple targets in the presence of continuous …

We propose a novel algorithm using a reproducing kernel for adaptive nonlinear estimation.
The proposed algorithm is based on three ideas: projection-along-subspace, selective …

A bias-compensated constrained least mean square (BC-CLMS) adaptive filter algorithm for
noisy input is proposed. To derive the proposed algorithm, we present a novel cost function …

The m-dimensional Cayley–Dickson number system \BBA_m is a standard extension of real
(m=1), complex (m=2), quaternion (m=2^2), octonion (m=2^3) and sedenion (m=2^4) etc. In …

We analyze the performance of a linear-equality-constrained least-squares (CLS) algorithm
and its relaxed version, called rCLS, that is obtained via the method of weighting. The rCLS …

In this paper, we propose spatial filters for a linear regression model, which are based on the
minimum-variance pseudo-unbiased reduced-rank estimation (MV-PURE) framework. As a …

This chapter introduces a novel machine learning algorithm for symbol detection in multiuser
environments. It considers a challenging multiuser uplink scenario in which the number of …

The relaxed zero-forcing (RZF) beamformer is a quadratically-and-linearly constrained
minimum variance beamformer. The central question addressed in this paper is whether …