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  • Hilbert Space Methods in Si... Hilbert Space Methods in Signal Processing
    Kennedy, Rodney A.; Sadeghi, Parastoo 03/2013
    eBook

    This lively and accessible book describes the theory and applications of Hilbert spaces and also presents the history of the subject to reveal the ideas behind theorems and the human struggle that ...
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  • Systematic identification o... Systematic identification of cell cycle-dependent yeast nucleocytoplasmic shuttling proteins by prediction of composite motifs
    Kosugi, Shunichi; Hasebe, Masako; Tomita, Masaru ... Proceedings of the National Academy of Sciences - PNAS, 06/2009, Volume: 106, Issue: 25
    Journal Article
    Peer reviewed
    Open access

    The cell cycle-dependent nucleocytoplasmic transport of proteins is predominantly regulated by CDK kinase activities; however, it is currently difficult to predict the proteins thus regulated, ...
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  • Microcomb-Based Photonic RF... Microcomb-Based Photonic RF Signal Processing
    Xu, Xingyuan; Tan, Mengxi; Wu, Jiayang ... IEEE photonics technology letters, 12/2019, Volume: 31, Issue: 23
    Journal Article
    Open access

    Microcombs are powerful tools as sources of multiple wavelength channels for photonic radio frequency (RF) signal processing. They offer a compact device footprint, large numbers of wavelengths, and ...
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  • Signal Processing for Music... Signal Processing for Music Analysis
    Muller, M.; Ellis, D. P. W.; Klapuri, A. ... IEEE journal of selected topics in signal processing, 2011-Oct., 2011-10-00, 20111001, 2011-10, Volume: 5, Issue: 6
    Journal Article
    Peer reviewed
    Open access

    Music signal processing may appear to be the junior relation of the large and mature field of speech signal processing, not least because many techniques and representations originally developed for ...
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  • Approximate-derivative-base... Approximate-derivative-based signal-processing method to segment power-quality disturbances
    Akmaz, Düzgün IET generation, transmission & distribution, 11/2020, Volume: 14, Issue: 21
    Journal Article
    Peer reviewed
    Open access

    The increasing complexity of power systems and the increase in power quality (PQ) data have made it necessary to develop different and simple signal-processing tools. In this study, an ...
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  • Classification of epileptic... Classification of epileptic EEG signals using sparse spectrum based empirical wavelet transform
    Nishad, A; Upadhyay, A; Ravi Shankar Reddy, G ... Electronics letters, 12/2020, Volume: 56, Issue: 25
    Journal Article
    Peer reviewed

    The unnatural activities of brain due to seizure events are analysed by electroencephalogram (EEG) signals which are captured from the brain. In this work, a methodology is proposed to classify the ...
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  • A Hybrid CPF-HAF Estimation... A Hybrid CPF-HAF Estimation of Polynomial-Phase Signals: Detailed Statistical Analysis
    Djurovic, I.; Simeunovic, M.; Djukanovic, S. ... IEEE transactions on signal processing, 10/2012, Volume: 60, Issue: 10
    Journal Article
    Peer reviewed

    In this paper, we consider parameter estimation of high-order polynomial-phase signals (PPSs). We propose an approach that combines the cubic phase function (CPF) and the high-order ambiguity ...
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  • Compact CRB for delay, Dopp... Compact CRB for delay, Doppler, and phase estimation – application to GNSS SPP and RTK performance characterisation
    Medina, Daniel; Ortega, Lorenzo; Vilà-Valls, Jordi ... IET radar, sonar & navigation, October 2020, Volume: 14, Issue: 10
    Journal Article
    Peer reviewed
    Open access

    The derivation of tight estimation lower bounds is a key tool to design and assess the performance of new estimators. In this contribution, first, the authors derive a new compact Cramér–Rao bound ...
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