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12 ta ish

Ish: Application of Machine Learning Methods for Signal Processing in Piecewise-Polynomial Bases

  1. Construction of interpolation splines minimizing semi-norm in $W_{2}^{(m,m-1)}(0,1)$ space

    Kholmat Shadimetov, A.R. Hayotov

    MaqolaAdvanced Numerical Analysis TechniquesBIT Numerical Mathematics201228 iqtibos
    ABI

  2. Evaluation Methods of Spline

    Dhananjay Singh, Madhusudan Singh, Hakimjon Zaynidinov

    BobFractional Differential Equations SolutionsSpringerBriefs in applied sciences and technology201810 iqtibos
    ABI

  3. B-Spline Approximation for Polynomial Splines

    Dhananjay Singh, Madhusudan Singh, Hakimjon Zaynidinov

    BobAdvanced Numerical Analysis TechniquesSpringerBriefs in applied sciences and technology20189 iqtibos
    ABI

  4. Biomedical signals interpolation spline models

    Zayniddinov Xakimjon, Azimov Bunyod

    MaqolaAdvanced Computational Techniques in Science and Engineering2019 International Conference on Information Science and Communications Technologies (ICISCT)20198 iqtibos
    ABI

  5. Comparative Analysis of the Architecture of Dual-Core Blackfin Digital Signal Processors

    Hakimjon Zaynidinov, Sanjarbek Ibragimov, Gayrat Tojiboyev

    MaqolaAdvanced Data Processing Techniques2021 International Conference on Information Science and Communications Technologies (ICISCT)20214 iqtibos
    ABI

  6. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  7. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  8. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  9. Sarlavhasiz

    Boshqa1 iqtibos
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  10. Sarlavhasiz

    Boshqa1 iqtibos
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  11. Sarlavhasiz

    Boshqa1 iqtibos
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  12. Sarlavhasiz

    Boshqa1 iqtibos
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