[EN] This work introduces a multisensor road surface identification system that considers features from four different kind of sensors: microphones, accelerometers, speed signals, and handwheel signals. Features are extracted ...

[EN] The essential step of surrogating algorithms is phase randomizing the Fourier transform while preserving the original spectrum amplitude before computing the inverse Fourier transform. In this paper, we propose a new ...

[EN] In this work, signal processing techniques are combined with non-destructive evaluation (NDE) to evaluate the capability for detecting defects in historic walls. To join this aim, ashlar masonry walls of 3x2x0.2m ...

[EN] Las señales electroencefalográficas (EEG) producidas por el cerebro humano en reposo son únicas para cada sujeto, permitiendo diferenciarlo de otros. Esta unicidad es explotada en este artículo, que presenta un método ...

[EN] This paper presents an application of ultrasounds and ground-penetrating radar (GPR) for analysis of historic walls. The objectives are to characterize the deformation of a historic wall under ...

[EN] Recent works in signal processing on graphs have been driven to estimate the precision matrix and to use it as the graph Laplacian matrix. The normalized elements of the precision matrix are the partial correlation ...

[ES] Este trabajo presenta dos nueves métodos de predicdón no lineal, uno basado en correcdón no lineal de una predicción lineal y otro basado en un modelo de mezcla de analizadores de componentes independientes. El ...

[EN] Estimation of the number of materials that are present in a hyperspectral image is a necessary step in many hyperspectral image processing algorithms, including classification and unmixing. Previously, we presented ...

[EN] In this work, we propose a new method for oversampling the training set of a classifier, in a scenario of extreme scarcity of training data. It is based on two concepts: Generative Adversarial Networks (GAN) and vector ...