David de la Mata-Moya

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The detection of gaussian signals with unknown correlation coefficient, &#x03C1;<inf>s</inf> is considered. A strategy for designing high order neural networks (HONN) in composite hypothesis test is proposed. A HONN trained with &#x03C1;<inf>s</inf> varying uniformly in [0, 1] is considered to approximate the Average Likelihood Ratio (ALR). In order to(More)
This work analyses the spectral structure of the sea clutter obtained from temporal sequences of radar images of the sea surface. The images were acquired by ordinary marine radars, which work in X-band and horizontal polarization. The study analyses the different contributions to the sea clutter spectrum due to those phenomena, such as ocean waves, speckle(More)
The detection of gaussian signals with unknown correlation coefficient, rho<sub>s</sub>, is considered. A strategy for designing mixture of experts in composite hypothesis test is proposed. It is based on designing a single multi-layer perceptron (MLP) trained with rho<sub>s</sub> varying uniformly in [0,1] to approximate the average likelihood ratio (ALR),(More)
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