1,183 research outputs found

    Phonedit SIGNAIX

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    PHONEDIT Signaix is a software for the analysis of sound, aerodynamic, articulatory and electro-physiological signals developped by the 'Parole et Langage' Laboratory, Aix-en-Provence, France. It provides a complete environment for the recording, the playback, the display, the analysis, the labeling of multiparametric data.Current version (2009) authorises the control of EVA2 workstation. You can directly record aerodynamics data of EVA2 with Phonedit. (Use the 'Tools' menu to select the recording device.)PHONEDIT Signaix plugins can be used with Linux/Cygwin environment to customize processes with bash script. It runs with recent Windows operating system on PC.PHONEDIT Signaix is free of charge and can be downloaded.Un software para el análisis del sonido, las señales de aerodinámica, articulación y electro fisiológicas. Se ofrece un entorno completo para la grabación, reproducción, visualización, análisis y etiquetado de los datos multiparamétricos.La versión actual permite el control de EVA2 estación de trabajo.Sus plugins se puede utilizar en el entorno Linux/Cygwin para personalizar los procesos con secuencias de comandos bash.PHONEDIT Signaix est un logiciel d'analyse de signaux sonore, aérodynamique, articulatoire et électro-physiologique développé par le laboratoire 'Parole et Langage', Aix-en-Provence, France. Il fournit un environnement complet pour l'enregistrement, la lecture, l'affichage, l'analyse, l'annotation de données multiparamétriques.La version 2009 autorise le contrôle de la station de travail EVA2. Il est possible d'enregistrer directement des données aérodynamiques provenant des capteurs d'EVA2 avec Phonedit (Utiliser le menu 'Outils' pour sélectionner le dispositif d'enregistrement).Les modules d'extension de PHONEDIT Signaix peuvent être utilisés dans l'environnement Linux/Cygwin pour personnaliser des traitement à travers des scripts bash.PHONEDIT Signaix fonctionne avec les versions récentes de Microsoft Windows sur PC .PHONEDIT Signaix est gratuit et téléchargeable.BÉRAHA, J.-P.; GHIO, A. Le traitement du rapport parole-bruit dans les prothèses numériques : analyse sonagraphique comparative sur logiciel Phonedit. Actes, Journées Nationales des Audioprothésistes Français (2000 mars 26-27 : Paris, France). 2000, p. 10.http://lpl-aix.fr/article/97

    Scheda n°4. Matematica Attuariale

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    La scheda, eseguita nell'ambito delle attività del SEMINARIO DIDATTICO della Facoltà di Scienze M. F. N. dell'Università di Genova e finalizzata all'uso nella scuola superiore, propone un approccio storico alla statistica e alla matematica attuariale attraverso l'utilizzo di testi originali di A. De Moivre

    Inverse Radon transform scaling via spin rate estimation for resident space object size assessment

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    The population of resident space objects (RSOs) has increased drastically during the past years. These objects became a great threat for active satellites. The consequences of a collision with orbital debris strictly depend on the size and velocity of the debris. Typical collision velocities range from seven to fifteen kilometres per second, depending on the collision angle. Such debris must be detected, tracked, and catalogued in order to avoid collisions. Here, object size-related parameters will be estimated by making use of a scaled inverse Radon transform (IRT). The scaled IRT is obtained by estimating the object spin rate

    A comparison of radon domain approaches for resident space object's parameter estimation

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    The amount of space debris orbiting around the Earth has seen a dramatic growth through the recent years. This growth is fed by an avalanche multiplication process. In fact, according to the 'Kessler syndrome', any collision generates more debris that then collide with other objects and produce further debris. This growth represents a serious hazard for operational spacecraft, human activities in space and even the Earth environment since their re-enter is uncontrolled. Thus, it is important to continuously monitor and characterize them. Instrumental features for their characterization are surely represented by their size and spin rate. The Inverse Radon transform (IRT) tool has been proved to be a valid solution for this task. In this paper, we propose a comparison study between different approaches based on IRT for the estimation of the object's rotation period

    Size estimation of space debris models from their RCS measured in anechoic chamber

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    Space debris characterization is becoming increasingly important in the framework of Space Situational Awarenees (SSA). In fact, the uncontrolled multiplication of orbital debris has been statistically quantified around 130 million objects. It is therefore instrumental to take actions to protect operational spacecraft and human activities in space. Since years, NASA has been working to this end and has developed an RCS-to-size mapping function, known as Size Estimation Model (SEM). In this paper, RCS data acquired during a measurement campaign in an anechoic chamber has been used to derive a similar function. A comparison of the size estimated by using both models is shown in this paper

    A learning machine for resource-limited adaptive hardware

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    Machine learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the training stage. In this paper, we present a method for building support vector machines (SVM), characterized by integer parameters and coefficients. This method is useful to implement a pattern recognition system on resource-limited hardware, where a floating-point unit is often unavailable
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