The estimation of the symbol rate of a linearly modulated signal is addressed, with special
focus on low signal-to-noise ratio (SNR) scenarios. This problem finds application in …

In this paper, the problem of blind channel estimation under orthogonal space-time block
coded (OSTBC) transmissions is solved by minimizing some distance measure between the …

This paper deals with the goodness of the Gaussian assumption when designing second-
order blind estimation methods in the context of digital communications. The low-and high …

It is known that Wideband Code-Division Multiple Access (W-CDMA) networks are limited by
interference more than by any other single effect. Due to the frequency selectivity of the …

Most signal-to-noise ratio (SNR) estimators use the receiver matched filter output sampled at
the symbol rate, an approach which does not preserve all information in the analog …

This paper extends the extended Kalman filter (EKF) to cover those scenarios in which the
input signal is unknown and quadratic processing is required to estimate and track some …

This thesis deals with the problem of blind second-order estimation in digital
communications. In this field, the transmitted symbols appear as non-Gaussian nuisance …

(English) A great deal is known about second-order statistics. For many years, most of the
signal processing problems have been addressed under the perspective of the first and …

The paper deals with the problem of estimating the direction-of-arrival (DOA) of multiple
digitally-modulated sources. This problem arises naturally when studying positioning …

In this paper we present a Maximum Likelihood (ML) approach to the symbol rate estimation
of a linearly modulated signal, as those found in satellite broadcasting with DVB-S [1] or …