Jorge Gosálbez

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In this paper we propose a new technique for estimating the center frequency of the ultrasound pulse from records of backscattering noise. We start by considering that the conventional maximum frequency method can be seen as a filtering (differentiator) of the pulse spectrum magnitude followed by a searching for the zero-crossing value. The new approach(More)
Energy detectors are optimum to detect uncorrelated Gaussian signals or GLRT to detect completely unknown signals; in both cases, noise background must be uncorrelated Gaussian. However, energy detectors degrade when noise background is non-independent and nonGaussian. An extension is presented in this paper to deal with this situation. Independence is(More)
This paper presents an applied research study on knowledge discovery based on academic data analysis. The main objectives of this research study were to get knowledge about academic achievement success and failure, student retention and student desertion. Automatic clustering and decision rule data mining techniques were used. The application of the C-mean(More)
This paper presents a technique for defect detection and material classification based on blind source separation by ICA for application in impact-echo testing. The transfer functions between the impact point and the defects in the material are modelled as “sources” for blind source separation. The sensors located on the material surface measure a(More)
This paper presents an application of ultrasonic signal processing to find parameters related with physical properties of archaeological ceramic pieces and consolidation products used in their restoration. Pieces consisted of ceramic fragments from Bronze, Iberian, Roman and Middle ages. Ultrasonic signals measured from the pieces were processed to derive(More)
The problem of acoustic detection and recognition is of particular interest in surveillance applications, especially in noisy environments with sound sources of different nature. Therefore, we present a multiple energy detector (MED) structure which is used to extract a new set of features for classification, called frequency MED (FMED) and combined MED(More)
In this paper, we present a novel approach for detection and localization of both impulsive and non-impulsive sound sources. At first, theoretical basics of the used algorithms are presented. Subsequently, we describe a standard SRP-PHAT based localization method and discuss occurring complications, especially for impulsive sound sources. Therefore, a(More)