For system identification problems associated with long-length impulse responses, the
recently developed decomposition-based technique that relies on a third-order tensor (TOT) …

It is essential for meeting the stringent real-time demands encountered in actual production
scenarios. Employing the low computational complexity of recursive algorithms, some new …

This paper presents a higher order multi-state Markov model for block sparsity model of a
system impulse response. To capture the time-varying behavior of the system, a random …

When parameters of mobile telecommunication channels change rapidly, classical adaptive
filters, such as exponentially weighted least squares algorithms or gradient algorithms, fail to …

Stereophonic acoustic echo cancellation (SAEC) requires the identification of four unknown
impulse responses corresponding to four loudspeaker-to-microphone pairs. Recent …

When applied to identification of time-varying systems, such as rapidly fading
telecommunication channels, adaptive estimation algorithms built on the local basis function …

In this work we present a full-duplex (FD) underwater acoustic (UWA) communication system
simultaneously transmitting and receiving acoustic signals in the same frequency …

The problem of noncausal identification of a time-varying linear system subject to both
smooth and occasional jump-type changes is considered and solved using the …

In this paper we propose a solution to the problem of tracking quasi-periodically varying
systems based on the local basis function (LBF) approach. Within this framework, parameter …

The article proposes a fast, two-stage method for the identification of nonstationary systems.
The method uses iterative reweighting to robustify the identification process against the …