Výsledky vyhledávání - "[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing"

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    The signal separation evaluation campaign (2007–2010): Achievements and remaining challenges Autor Vincent, Emmanuel, Araki, Shoko, Theis, Fabian, Nolte, Guido, Bofill, Pau, Sawada, Hiroshi, Ozerov, Alexey, Gowreesunker, Vikrham, Lutter, Dominik, Duong, Ngoc Q.K.

    ISSN: 0165-1684, 1872-7557
    Vydáno: Elsevier B.V 01.08.2012
    Vydáno v Signal processing (01.08.2012)
    “…We present the outcomes of three recent evaluation campaigns in the field of audio and biomedical source separation. These campaigns have witnessed a boom in…”
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    Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data Autor Veganzones, Miguel A., Simoes, Miguel, Licciardi, Giorgio, Yokoya, Naoto, Bioucas-Dias, Jose M., Chanussot, Jocelyn

    ISSN: 1057-7149, 1941-0042
    Vydáno: United States IEEE 01.01.2016
    Vydáno v IEEE transactions on image processing (01.01.2016)
    “…Remote sensing hyperspectral images (HSIs) are quite often low rank, in the sense that the data belong to a low dimensional subspace/manifold. This has been…”
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    Antenna Selection for Reconfigurable Intelligent Surfaces: A Transceiver-Agnostic Passive Beamforming Configuration Autor Xu, Chao, An, Jiancheng, Bai, Tong, Sugiura, Shinya, Maunder, Robert G., Yang, Lie-Liang, Di Renzo, Marco, Hanzo, Lajos

    ISSN: 1536-1276, 1558-2248
    Vydáno: New York IEEE 01.11.2023
    “…Reconfigurable intelligent surface (RIS) is capable of improving the wireless system performance by steering the reflected signal in the desired direction. One…”
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    BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification Autor Appriou, Aurélien, Pillette, Léa, Trocellier, David, Dutartre, Dan, Cichocki, Andrzej, Lotte, Fabien

    ISSN: 1424-8220, 1424-8220
    Vydáno: Basel MDPI AG 26.08.2021
    Vydáno v Sensors (26.08.2021)
    “…Research on brain–computer interfaces (BCIs) has become more democratic in recent decades, and experiments using electroencephalography (EEG)-based BCIs has…”
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    NMMD: Efficient Cryo-EM Flexible Fitting Based on Simultaneous Normal Mode and Molecular Dynamics atomic displacements Autor Vuillemot, Rémi, Miyashita, Osamu, Tama, Florence, Rouiller, Isabelle, Jonic, Slavica

    ISSN: 0022-2836, 1089-8638, 1089-8638
    Vydáno: Netherlands Elsevier Ltd 15.04.2022
    Vydáno v Journal of molecular biology (15.04.2022)
    “…[Display omitted] •NMMD: new method for flexible fitting of atomic structures into cryo-EM maps.•NMMD efficiently combines normal mode analysis and molecular…”
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    Cracking the social code of speech prosody using reverse correlation Autor Ponsot, Emmanuel, Burred, Juan José, Belin, Pascal, Aucouturier, Jean-Julien

    ISSN: 1091-6490, 1091-6490
    Vydáno: United States 10.04.2018
    “…Human listeners excel at forming high-level social representations about each other, even from the briefest of utterances. In particular, pitch is widely…”
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    Modeling complex EEG data distribution on the Riemannian manifold toward outlier detection and multimodal classification Autor Yamamoto, Maria Sayu, Sadatnejad, Khadijeh, Tanaka, Toshihisa, Islam, Md. Rabiul, Dehais, Frederic, Tanaka, Yuichi, Lotte, Fabien

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Vydáno: United States IEEE 01.02.2024
    “…Objective: The usage of Riemannian geometry for Brain-computer interfaces (BCIs) has gained momentum in re-cent years. Most of the machine learning techniques…”
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    Optimizing Source and Sensor Placement for Sound Field Control: An Overview Autor Koyama, Shoichi, Chardon, Gilles, Daudet, Laurent

    ISSN: 2329-9290, 2329-9304
    Vydáno: Piscataway IEEE 01.01.2020
    “…In order to control an acoustic field inside a target region, it is important to choose suitable positions of secondary sources (loudspeakers) and sensors…”
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    Determinants and prognostic significance of exercise pulmonary hypertension in asymptomatic severe aortic stenosis Autor Lancellotti, Patrizio, Magne, Julien, Donal, Erwan, O'Connor, Kim, Dulgheru, Raluca, Rosca, Monica, Pierard, Luc A

    ISSN: 1524-4539, 1524-4539
    Vydáno: United States 14.08.2012
    Vydáno v Circulation (New York, N.Y.) (14.08.2012)
    “…Recent studies emphasized the usefulness of exercise stress echocardiography in asymptomatic patients with aortic stenosis. Nevertheless, the additive value of…”
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    Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications Autor Nakamura, Toru, Kiyono, Ken, Wendt, Herwig, Abry, Patrice, Yamamoto, Yoshiharu

    ISSN: 0018-9219, 1558-2256
    Vydáno: New York IEEE 01.02.2016
    Vydáno v Proceedings of the IEEE (01.02.2016)
    “…Recent advances in wearable and/or biomedical sensing technologies have made it possible to record very long-term, continuous biomedical signals, referred to…”
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    Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling Autor Raczyński, Stanisław A., Vincent, Emmanuel, Sagayama, Shigeki

    ISSN: 1558-7916, 1558-7924
    Vydáno: Piscataway, NJ IEEE 01.09.2013
    “…Symbolic pitch modeling is a way of incorporating knowledge about relations between pitches into the process of analyzing musical information or signals. In…”
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    Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering Autor Yamamoto, Maria Sayu, Sadatnejad, Khadijeh, Tanaka, Toshihisa, Islam, Rabiul, Tanaka, Yuichi, Lotte, Fabien

    ISSN: 2694-0604, 1558-4615, 2694-0604
    Vydáno: IEEE 01.07.2020
    “…Automatically detecting and removing Electroencephalogram (EEG) outliers is essential to design robust brain-computer interfaces (BCIs). In this paper, we…”
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    Wavelet p-Leader Non Gaussian Multiscale Expansions for Heart Rate Variability Analysis in Congestive Heart Failure Patients Autor Wendt, Herwig, Abry, Patrice, Kiyono, Ken, Hayano, Junichiro, Watanabe, Eiichi, Yamamoto, Yoshiharu

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Vydáno: United States IEEE 01.01.2019
    “…Objective: Numerous indices were devised for the statistical characterization of temporal dynamics of heart rate variability (HRV) with the aim to discriminate…”
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