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    Infinite quantum signal processing by Yulong Dong, Lin Lin, Hongkang Ni, Jiasu Wang

    Published 2024-12-01
    “…Quantum signal processing (QSP) represents a real scalar polynomial of degree $d$ using a product of unitary matrices of size $2\times 2$, parameterized by $(d+1)$ real numbers called the phase factors. …”
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    Signal Processing and Linear Systems / by Lathi, B. P.

    Published 2010
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    Book
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    Block encoding bosons by signal processing by Christopher F. Kane, Siddharth Hariprakash, Neel S. Modi, Michael Kreshchuk, Christian W Bauer

    Published 2025-05-01
    “…Block Encoding (BE) is a crucial subroutine in many modern quantum algorithms, including those with near-optimal scaling for simulating quantum many-body systems, which often rely on Quantum Signal Processing (QSP). Currently, the primary methods for constructing BEs are the Linear Combination of Unitaries (LCU) and the sparse oracle approach. …”
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    On multivariate polynomials achievable with quantum signal processing by Lorenzo Laneve, Stefan Wolf

    Published 2025-02-01
    “…Quantum signal processing (QSP) is a framework which was proven to unify and simplify a large number of known quantum algorithms, as well as discovering new ones. …”
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    Digital signal processing application in nuclear spectroscopy by O. V. Zeynalova, Sh. S. Zeynalov, F.-J. Hambsch, S. Oberstedt

    Published 2009-06-01
    “…The efficiency of developed algorithms compared with other signal processing schemes published in literature.…”
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    Digital Signal Processing of the Inharmonic Complex Tone by Tatjana Miljković, Jelena Ćertić, Miloš Bjelić, Dragana Šumarac Pavlović

    Published 2025-07-01
    “…In this paper, a set of digital signal processing (DSP) procedures tailored for the analysis of complex musical tones with prominent inharmonicity is presented. …”
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    Temporal signal processing with nonlocal optical metasurfaces by Michele Cotrufo, Sedigheh Esfahani, Dmitriy Korobkin, Andrea Alù

    Published 2024-10-01
    “…Here, we demonstrate that metasurfaces with temporal nonlocalities – that is, with a tailored dispersive response – can be used to implement time-domain signal processing in deeply subwavelength footprints. In particular, we experimentally demonstrate a passive metasurface performing first-order differentiation of input signals with high-fidelity and high-efficiency. …”
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    Deep Learning in Visual Computing and Signal Processing by Danfeng Xie, Lei Zhang, Li Bai

    Published 2017-01-01
    “…Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. In this study, we not only review typical deep learning algorithms in computer vision and signal processing but also provide detailed information on how to apply deep learning to specific areas such as road crack detection, fault diagnosis, and human activity detection. …”
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