TSP
2010
13 years 7 months ago
2010
In this paper we propose two multichannel blind deconvolution algorithms for the restoration of two-dimensional (2D) seismic data. Both algorithms are based on a 2D reflectivity pr...
TSP
2010
13 years 7 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
TSP
2010
13 years 7 months ago
2010
In this paper, we consider the transmission of a Gaussian source over a cooperative relay network, and analyze its end-to-end distortion at high signal-to-noise ratio, in terms of ...
TSP
2010
13 years 7 months ago
2010
Three versions of a novel adaptive channel estimation approach, exploiting the over-sampled complex exponential basis expansion model (CE-BEM), is presented fordoubly selectivechan...
TSP
2010
13 years 7 months ago
2010
The performance of many very high bit rate digital subscriber line (VDSL) systems is limited by the effects of crosstalk among the wires in a bundle. For the downstream, a precoder...
TSP
2010
13 years 7 months ago
2010
A novel evaluation of filtering and quantisation losses for weak DS-CDMA receivers is presented. Using this method, joint optimisation of filter center frequency and bandwidth is c...
TSP
2010
13 years 7 months ago
2010
We address the issue of noise robustness of reconstruction techniques for frequency-domain optical-coherence tomography. We consider three reconstruction techniques: Fourier, iter...
TSP
2010
13 years 7 months ago
2010
Information theory, and particularly the mutual information (MI), has provided fundamental guidance for communications research. In Bell's 1993 paper, the MI was first applied...
TSP
2010
13 years 7 months ago
2010
The dual-tree complex wavelet transform (DT- WT) is known to exhibit better shift-invariance than the conventional discrete wavelet transform. We propose an amplitude-phase represe...
TSP
2010
13 years 7 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...