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In this paper, we try to identify and quantify the chemical species present on the surface of planet Mars with the help of hyperspectral images provided by the instrument OMEGA (Bibring et al., 2004). For this purpose, we suppose that the spectrum of each pixel is a linear mixture of the spectra of different endmembers. From this linear mixture hypothesis, our work is divided into two steps. Firstly,...
This letter investigates optimal transmission of orthogonal space-time block codes (OSTBCs) over distributed antennas (DAs) in non-ergodic flat Rayleigh fading channels with transmit antenna correlations. A generalized DA topology is considered, where the DAs are grouped into some geographically dispersed ports within each of which the DAs are co-located. Assuming equal power allocation within each...
Under the assumption that the branch gains of the desired user signal and the interfering signals experience Rayleigh fading and have the same correlation matrix, the outage probability of maximal ratio combining (MRC) in the presence of unequal-power cochannel interference (CCI) is derived for the two cases that the correlation matrix is equicorrelated and that the correlation matrix has different...
The space-time wireless communications systems will use the advantages of the MIMO (multiple input multiple output) channels. Precedent studies have focused less attention on the eigen/capacity analysis with correlated channels under different frequencies for indoor environments. The results derived from a frequency measurement campaign performed between 2 and 4 GHz, show frequency band dependence...
The determination of full double-directional parameters of the mobile channel has received considerable attention these last years, one of the main applications being the optimization of MIMO systems. Dedicated high-resolution parameter estimation techniques usually need the prior knowledge of the number of paths (or sources), a wrong estimation leading to erroneous results of the channel parameters...
Variable step-size LMS algorithms (VS LMS) have been widely applied to the inverse modeling of an unknown plant in linear adaptive inverse control system due to their advantages over standard LMS in reducing the trade-off between the convergence speed and steady-state error. Plant dynamics, however, can cause eigenvalue spread in the controller's input correlation matrix, resulting in slow convergence...
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