Výsledky vyhledávání - "improved fast iterative shrinkage-thresholding algorithm"

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  1. 1

    Compressive sensing reconstruction for vibration signals based on the improved fast iterative shrinkage-thresholding algorithm Autor Wang, Qiang, Meng, Chen, Ma, Weining, Wang, Cheng, Yu, Lei

    ISSN: 0263-2241, 1873-412X
    Vydáno: London Elsevier Ltd 01.08.2019
    “…•The reconstruction model is established for vibration signals.•The index vector is proposed to obtain all the feature coefficients.•The improve FISTA is…”
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  2. 2

    Compressed Sensing Reconstruction of Radar Echo Signal Based on Fractional Fourier Transform and Improved Fast Iterative Shrinkage-Thresholding Algorithm Autor Zhang, Rui, Meng, Chen, Wang, Cheng, Wang, Qiang

    ISSN: 1530-8669, 1530-8677
    Vydáno: Oxford Hindawi 2021
    “…The compressed sensing theory, which has received great attention in the field of radar technology, can effectively reduce the data rate of high-resolution…”
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  3. 3

    An improved fast iterative shrinkage thresholding algorithm with an error for image deblurring problem Autor Tianchai, Pattanapong

    ISSN: 2730-5422, 2730-5422
    Vydáno: Cham Springer International Publishing 01.11.2021
    “…In this paper, we introduce a new iterative forward-backward splitting method with an error for solving the variational inclusion problem of the sum of two…”
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  4. 4

    Geometric Positioning Accuracy Improvement of ZY-3 Satellite Imagery Based on Statistical Learning Theory Autor Jiao, Niangang, Wang, Feng, You, Hongjian, Yang, Mudan, Yao, Xinghui

    ISSN: 1424-8220, 0746-9462, 1424-8220
    Vydáno: Switzerland MDPI AG 24.05.2018
    Vydáno v Sensors (Basel, Switzerland) (24.05.2018)
    “…With the increasing demand for high-resolution remote sensing images for mapping and monitoring the Earth’s environment, geometric positioning accuracy…”
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  5. 5

    Application of the improved fast iterative shrinkage-thresholding algorithms in sound source localization Autor Chen, Lin, Xiao, Youhong, Yang, Tiejun

    ISSN: 0003-682X
    Vydáno: Elsevier Ltd 01.09.2021
    Vydáno v Applied acoustics (01.09.2021)
    “…For acoustic beamforming, the Fast Iterative shrinkage-thresholding algorithm (FISTA) is efficient in improving the spatial resolution and the dynamic range of…”
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  6. 6

    A comparative study over improved fast iterative shrinkage-thresholding algorithms: an application to seismic data reconstruction Autor Khatami, Hamid Reza, Riahi, Mohammad Ali, Abedi, Mohammad Mahdi, Dehkhargani, Afshin Akbari

    ISSN: 0039-3169, 1573-1626
    Vydáno: Dordrecht Springer Netherlands 01.04.2024
    Vydáno v Studia geophysica et geodaetica (01.04.2024)
    “…Seismic data reconstruction is a crucial process involving the restoration of missing or corrupted traces to create a uniform dataset for subsequent data…”
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  7. 7

    A novel Fourier-based deconvolution algorithm with improved efficiency and convergence Autor Shen, Linbang, Chu, Zhigang, Zhang, Yongxiang, Yang, Yang

    ISSN: 1461-3484, 2048-4046
    Vydáno: London, England SAGE Publications 01.12.2020
    “… To improve the computational efficiency and solution convergence of deconvolution, this paper proposes a Fourier-based improved fast iterative shrinkage thresholding algorithm…”
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  8. 8

    Low-Complexity PAPR Minimization for Symbol Level Precoded Multi-User MISO-OFDM System Autor Qin, Yuanyuan, Liao, Xuewen, Li, Ang, Masouros, Christos

    ISSN: 1089-7798, 1558-2558
    Vydáno: New York IEEE 01.02.2022
    Vydáno v IEEE communications letters (01.02.2022)
    “… The original optimization problem is transformed into a convex problem that can be solved with an improved fast iterative shrinkage-thresholding algorithm (FISTA…”
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  9. 9

    Blind Deconvolution for Image Deblurring Based on Edge Enhancement and Noise Suppression Autor Cai, Chengtao, Meng, Haiyang, Zhu, Qidan

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2018
    Vydáno v IEEE access (2018)
    “…This paper denotes to obtain an accuracy blur kernel and a shape image. An efficient method that blind deconvolution for image deblurring based on edge…”
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