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Listar por palabra clave "QR factorization"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "QR factorization"

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    A Pipeline for the QR Update in Digital Signal Processing 
    Dolz, Manuel F.; Alventosa, Fran J.; Alonso-Jordá, Pedro; Vidal Maciá, Antonio Manuel (John Wiley & Sons, 2019)
    [EN] The input and output signals of a digital signal processing system can often be represented by a rectangular matrix as it is the case of the beamformer algorithm, a very useful particular algorithm that allows extraction ...
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    A pipeline structure for the block QR update in digital signal processing 
    Dolz, Manuel F.; Alventosa, Fran J.; Alonso-Jordá, Pedro; Vidal Maciá, Antonio Manuel (Springer-Verlag, 2019)
    [EN] There exist problems in the field of digital signal processing, such as filtering of acoustic signals that require processing a large amount of data in real time. The beamforming algorithm, for instance, is a process ...
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    Fast block QR update in digital signal processing 
    Alventosa, Fran J.; Alonso-Jordá, Pedro; Vidal Maciá, Antonio Manuel; Piñero, Gema; Quintana-Ortí, Enrique S. (Springer-Verlag, 2019-03)
    [EN] The processing of digital sound signals often requires the computation of the QR factorization of a rectangular system matrix. However, sometimes, only a given (and probably small) part of the system matrix varies ...
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    High-performance reconstruction of CT medical images by using out-of-core methods in GPU 
    Quintana-Ortí, Gregorio; CHILLARÓN-PÉREZ, MÓNICA; Vidal-Gimeno, Vicente-Emilio; Verdú Martín, Gumersindo Jesús (Elsevier, 2022-05)
    [EN] Background and objective: Since Computed Tomography (CT) is one of the most widely used medical imaging tests, it is essential to work on methods that reduce the radiation the patient is exposed to. Although there are ...
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    Tall-and-skinny QR factorization with approximate Householder reflectors on graphics processors 
    Tomás Domínguez, Andrés Enrique; Quintana-Ortí, Enrique S. (Springer-Verlag, 2020-11)
    [EN] We present a novel method for the QR factorization of large tall-and-skinny matrices that introduces an approximation technique for computing the Householder vectors. This approach is very competitive on a hybrid ...