Blind multichannel identification is a challenging problem in many domains. The normalized
multichannel frequency-domain least-mean-square (NMCFLMS) algorithm was developed …

We study the problem of estimating transfer functions of multivariable (multiple-input multiple-
output--MIMO) systems with sparse coefficients. We note that subspace identification …

Представлена модель цифровой абонентской линии в форме бернулли-гауссового
канала связи, который косвенно описан в виде функции правдоподобия. Выведено …

Blind identification for single-input multiple-output systems has received much attention in
the areas of communication and signal processing. This paper extends the Yule-Walker …

Deterministic blind identification algorithms of single-input and multi-output (SIMO) systems
can effectively estimate channel functions and the common source signal at high signal …

This paper presents a novel optimization method for blind multi-channel identification. The
formulation of the optimal blind channel identification problem consists of three components …

Представлено описание математической модели цифровой линии связи. Данная
модель функционирует в нормальном режиме при условии знания свойств линии …

A model is presented for a digital subscriber line in the form of a Bernoulli–Gaussian
communications channel that is indirectly described in the form of a likelihood function. An …

Electrophysiological recordings with electrodes, or more generally, with arrays of
multielectrodes, are key for recording neural activity data from the central nervous system …