In teleconferencing and communication systems, the use of Loudspeaker Enclosure
Microphone device leads to undesired echoes. To reduce these echoes, an acoustic echo …

The choice of a fixed step size in adaptive filtering algorithms implies a conflict between the
convergence rate and the steady-state performance. In order to address this tradeoff more …

The Volterra series consists of a powerful method for the identification of non-linear
relationships. However, the identification of the series active basis sets requires intense …

Nonstationary environments are ubiquitous in communications and acoustic systems. The
ability to track their dynamics is one of the most desirable features of adaptive processing …

The coefficient reuse strategy is able to improve the steady-state performance of adaptive
filter algorithms, especially in very challenging low signal-to-noise scenarios. This paper …

Convolutive mixtures of signals generated by more than one source and acquired by a set of
microphones are commonly found in acoustic signal processing applications. Subband …

The constrained least mean square (CLMS) algorithm is one of the most popular online
linear-equality-constrained beamforming algorithms. This paper demonstrates for the first …

Due to the inherent feedback feature of adaptive filtering algorithms, a comprehensive
theoretical understanding of their learning process is still challenging. In order to make the …

The adjustable weights of adaptive filtering algorithms are usually assumed to obey a
Gaussian distribution. This is somewhat natural under maximal-entropy considerations …

In this paper, a new family of adaptive filtering algorithms is presented, which aims to
combine the small misalignment resulting from the reuse of past weight vectors with the fast …