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dc.date.accessioned 2018-05-16T16:35:31Z
dc.date.available 2018-05-16T16:35:31Z
dc.identifier.uri https://digital.cic.gba.gob.ar/handle/11746/7345
dc.title Study on Single-bin Sliding DFT algorithms: Comparison, stability issues and frequency adaptivity en
dc.type Artículo es
dcterms.abstract The standard method for spectrum analysis is the Discrete Fourier Transform(DFT), typically implemented using a Fast Fourier Transform (FFT) algorithm. However, certain applications require an on-line spectrum analysis only on a subset of M frequencies of an N-point DFT ( M< N ) . In such cases, the use of Single-bin Sliding DFT (Sb-SDFT) is preferred over the direct application of FFT. Along these lines, the most popular algorithms are the Sliding Discrete Fourier Transform (SDFT), the Sliding Goertzel Transform (SGT), the Modulated Sliding Discrete Fourier Transform (mSDFT), and the S. Douglas and J. Soh algorithm (D&S). Even though these methods seem to differ, they are derived from the conventional DFT using distinct approaches and properties. To better understand the advantages, limitations and similarities each of them have, this work thoroughly evaluates and compares the four Sb-SDFT methods. What is more, the direct application of these Sb-SDFTs may lead to inaccuracies due to spectral leakage and picket-fence effects, common pitfalls inherited by every DFT-based method. For this reason, a unified model of the Sb-SDFT methods is proposed, whose aim is to design a frequency adaptive control loop. This frequency adaptability allows to mitigate the problems associated with improper sampling frequency. By using this unified model, the election of the Sb-SDFT algorithm is independent of the controller design and all the methods are equivalent. Theoretical results are validated by simulations and a DSP implementation of the four frequency adaptive Single-bin Sliding DFT methods. en
dcterms.extent 11 p. es
dcterms.issued 2015-03-19
dcterms.language Español es
dcterms.license Attribution-NonCommercial-NoDerivatives 4.0 International (BY-NC-ND 4.0) *
dcterms.subject power quality en
dcterms.subject harmonics measurement en
dcterms.subject system modeling en
dcterms.subject discrete fourier transform en
dcterms.subject digital signal processing en
dcterms.subject control design en
cic.version info:eu-repo/semantics/publishedVersion es
dcterms.creator.author Orallo, Carlos Martín es
dcterms.creator.author Carugati, Ignacio es
dcterms.creator.author Donato, Patricio Gabriel es
dcterms.creator.author Maestri, Sebastian es
cic.lugarDesarrollo Universidad Nacional de Mar del Plata es
cic.lugarDesarrollo Facultad de Ingeniería es
cic.lugarDesarrollo Instituto de Investigaciones Científicas y Tecnológicas en Electrónica es
dcterms.subject.materia Ingenierías y Tecnologías es
dcterms.identifier.url Recurso Completo es
dcterms.identifier.other doi:10.1016/j.measurement.2015.03.011 es
dcterms.isPartOf.issue Vol. 69 es
dcterms.isPartOf.series Journal of the International Measurement Confederation (IMEKO) es


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