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Listar por autor "Martinez Rach, Miguel Onofre"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por autor "Martinez Rach, Miguel Onofre"

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    Improving image compression through the use of evolutionary computing algorithms 
    López-Granado, O; Galiano, V; Martí Campoy, Antonio; Migallón, H.; Martinez Rach, Miguel Onofre; Piñol, Pablo; Perez Malumbres, Manuel Jose (Witpress, 2013)
    Discrete Wavelet Transform has proved to be powerful for image compression because it is able to compact frequency and spatial localization of image energy into a small fraction of coefficients. For a long time it was ...
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    Low-Complexity 3D-DWT video encoder applicable to IPTV 
    López ., Oroniel; Piñol ., Pablo; Martinez Rach, Miguel Onofre; Perez Malumbres, Manuel Jose; Oliver Gil, José Salvador (Elsevier, 2011-08)
    3D-DWT encoders are good candidates for applications like professional video editing, IPTV video surveillance, live event IPTV broadcast, multispectral satellite imaging, HQ video delivery, etc., where a frame must be ...
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    Monitoring pest insect traps by means of low-power image sensor technologies 
    López ., Otoniel; Martinez Rach, Miguel Onofre; Migallon ., Héctor; Perez Malumbres, Manuel Jose; Bonastre Pina, Alberto Miguel; Serrano Martín, Juan José (MDPI, 2012-11-13)
    Monitoring pest insect populations is currently a key issue in agriculture and forestry protection. At the farm level, human operators typically must perform periodical surveys of the traps disseminated through the field. ...
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    On the design of a bioacoustic sensor for the early detection of the red palm weevil 
    Martinez Rach, Miguel Onofre; Migallón, Héctor; López Granado, Otoniel; Perez Malumbres, Manuel Jose; Martí Campoy, Antonio; Serrano Martín, Juan José (MDPI, 2013-01)
    During the last two decades Red Palm Weevil (RPW, Rynchophorus Ferrugineus) has become one of the most dangerous threats to palm trees in many parts of the World. Its early detection is difficult, since palm trees do not ...