Proportionate adaptive filters, such as those based on the improved proportionate
normalized least-mean-square (IPNLMS) algorithm, have been proposed for echo …

Nonlinearity, among other factors, is often the root cause of difficulties in nonlinear problems.
It is important to quantify a problem's degree of nonlinearity to decide a proper solution. For …

A novel method for online tracking of the changes in the nonlinearity within both real-domain
and complex–valued signals is introduced. This is achieved by a collaborative adaptive …

Adaptive combinations of adaptive filters are an efficient approach to alleviate the different
tradeoffs to which adaptive filters are subject. The basic idea is to mix the outputs of two …

A novel hybrid filter combining the complex least mean square (CLMS) and augmented
CLMS (ACLMS) algorithms for complex domain adaptive filtering is introduced. The ACLMS …

Many control-relevant systems present the challenges of nonlinearity, directionality and ill-
conditioning for the control systems, and exhibit poor controller performance. This study …

The complex domain provides a natural processing framework for a large class of signals
encountered in communications, radar, biomedical engineering and renewable energy …

A novel method to evaluate the statistical significance differences between the groups of
coma and brain death patients is presented. This is achieved based on the …

In order to secure satisfactory performance of modern digital servomechanisms, it is
essential to design an appropriate control system. Use of simple and interpretable …

An adaptive hybrid beamforming (HB) based on the convex combination of two independent
transversal adaptive filters is proposed and analyzed in this paper. It involves the use of the …