[Abstract] Multiple-Input Multiple-Output (MIMO) digital communications standards usually acquire Channel State Information (CSI) by means of supervised algorithms, which implies a loss of performance since pilot symbols do not convey information. We propose to obtain this CSI by using the so-called semi-blind techniques, which combine both supervised and unsupervised (blind) methods. The key idea consists in introducing a decision criterion to determine when the channel has suffered a significant change. In such a case, transmission of pilot symbols is required. The use of this criterion also allows us to determine the time instants in which CSI has to be sent to the transmitter from the receiver through a low-cost feedback channel.Ministe...
peer reviewedThe decision feedback (DF) transceiver, combining linear precoding and DF equalization,...
At a communications receiver the observed signal is a corrupted version of the transmitted signal. T...
This proceeding at: The 22nd European Signal Processing Conference (EUSIPCO), took place 2014, Septe...
[Abstract] In this paper we investigate the application of Blind Source Separation (BSS) algorithms ...
Abstract. In this paper we investigate the application of Blind Source Separation (BSS) algorithms f...
https://dx.doi.org/10.1007/978-3-642-15995-4_39[Abstract] We propose to combine supervised and unsup...
The final publication is available http://dx.doi.org/DOI: 10.1007/978-3-642-13803-4_31[Abstrtact] Li...
The present chapter addresses the problem of channel equalization and source separation in digital c...
Channel estimation and equalization form an integral part of modern communi-cation systems. Proper e...
The final publication is available http://dx.doi.org/10.1109/TSP.2010.2052046[Abstract] We consider ...
We present a novel approach for joint transmitter-receiver design in the uplink of a wireless multip...
Channel estimation plays an important role in wireless mobile communications, especially in MIMO sys...
In this paper, we propose a semi-blind state-space based receiver that jointly performs channel esti...
This thesis addresses the problems of blind source separation (BSS) and blind and semi-blind communi...
In the case of fading communication links, like the mobile radio channels, blind channel equalizatio...
peer reviewedThe decision feedback (DF) transceiver, combining linear precoding and DF equalization,...
At a communications receiver the observed signal is a corrupted version of the transmitted signal. T...
This proceeding at: The 22nd European Signal Processing Conference (EUSIPCO), took place 2014, Septe...
[Abstract] In this paper we investigate the application of Blind Source Separation (BSS) algorithms ...
Abstract. In this paper we investigate the application of Blind Source Separation (BSS) algorithms f...
https://dx.doi.org/10.1007/978-3-642-15995-4_39[Abstract] We propose to combine supervised and unsup...
The final publication is available http://dx.doi.org/DOI: 10.1007/978-3-642-13803-4_31[Abstrtact] Li...
The present chapter addresses the problem of channel equalization and source separation in digital c...
Channel estimation and equalization form an integral part of modern communi-cation systems. Proper e...
The final publication is available http://dx.doi.org/10.1109/TSP.2010.2052046[Abstract] We consider ...
We present a novel approach for joint transmitter-receiver design in the uplink of a wireless multip...
Channel estimation plays an important role in wireless mobile communications, especially in MIMO sys...
In this paper, we propose a semi-blind state-space based receiver that jointly performs channel esti...
This thesis addresses the problems of blind source separation (BSS) and blind and semi-blind communi...
In the case of fading communication links, like the mobile radio channels, blind channel equalizatio...
peer reviewedThe decision feedback (DF) transceiver, combining linear precoding and DF equalization,...
At a communications receiver the observed signal is a corrupted version of the transmitted signal. T...
This proceeding at: The 22nd European Signal Processing Conference (EUSIPCO), took place 2014, Septe...