We review the development and extensions of the classical total least-squares method and
describe algorithms for its generalization to weighted and structured approximation …

The ringdown phase following a binary black hole merger is usually assumed to be well
described by a linear superposition of complex exponentials (quasinormal modes). In the …

We demonstrate that nonlinear fiber compression is possible at unprecedented average
power levels by use of a large-mode-area holey (microstructured) fiber and a passively …

This paper presents, on the basis of a rigorous mathematical formulation, a multicomponent
sinusoidal model that allows an asymptotically exact reconstruction of nonstationary speech …

The exponential functional link network (EFLN) has been recently investigated and applied
to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a …

High-resolution methods such as the ESPRIT algorithm are of major interest for estimating
discrete spectra, since they overcome the resolution limit of the Fourier transform and …

The exponential functional link network (EFLN) filter has attracted tremendous interest due
to its enhanced nonlinear modeling capability. However, the computational complexity will …

Many recent data analysis models are mathematically characterized by a multidimensional
total least squares problem with linear equality constraints (TLSE). In this paper, an explicit …

Removing artifacts and background electroencephalography (EEG) from multichannel
interictal and ictal EEG has become a major research topic in EEG signal processing in …

The class of total least squares methods has been growing since the basic total least
squares method was proposed by Golub and Van Loan in the 70's. Efficient and robust …