Adriana Dapena

Learn More
In this correspondence, we reply to the comments in Gu et al. [“Comments on ‘A blind signal separation method for multiuser communications,’” IEEE Transactions on Signal Processing, vol. 55, no. 5, pp. 2355–2356, May 2007]. We explain that the global convergence analysis of the method in Castedo et al. [“A blind signal separation method for multiuser(More)
In this paper we propose a novel approach for separating convolutive mixtures in the frequency domain. This approach involves the solution of several instantaneous mixing problems and the elimination of the indeterminacies which appear because the sources may be extracted in a different order or with different amplitudes in some frequency bins. In order to(More)
This paper presents a novel video coding technique where most frames are represented as their projection onto a proper basis (eigenspace) computed using principal component analysis (PCA). Since a video sequence contains regions with high time variations, a learning procedure is used to obtain an adequate basis. We also introduce the idea of bidirectional(More)
It is well-known that precoding is an attractive way to remove interferences because it reduces cost and power consumption in the receive equipment. When implementing precoding, however, the base station should know the Channel State Information (CSI) which is normally acquired at the receiver side by using pilot symbols. In Frequency Division Duplex (FDD)(More)
This paper focuses on blind channel estimation in Alamouti coded systems with one receiving antenna working in indoor scenarios where the flat fading assumption is reasonable. A comparative study of several channel estimation techniques in both simulated and realistic scenarios is presented. The tested methods exploit the orthogonality property of the(More)
The popular Alamouti orthogonal space time code attains full transmit diversity in multiple antenna systems. This paper addresses the problem of blind channel identification in (2 × 1) Alamouti coded systems. Under the assumption of independent symbol substreams, the channel can be estimated from the eigendecomposition of matrices composed of secondor(More)