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Parabolic Splines based One-Dimensional Polynomial

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Book cover Signal Processing Applications Using Multidimensional Polynomial Splines

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Abstract

Chapter 1 mentioned that the functions that are glued from various pieces of polynomials on a fixed system are called splines. The obtained smooth homogeneous structure piecewise-polynomial functions (compilation from polynomials of the same degree) are called spline functions or simply splines. The broken spline function is the simplest and historical example of splines. Spline functions are a developing field of the function approximation and digital analysis theory.

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Authors and Affiliations

  1. Department of Electronics Engineering, Hankuk University of Foreign Studies (Global Campus), Yongin, Korea (Republic of)

    Dhananjay Singh

  2. School of Technology Studies, Endicott College of International Studies, Woosong University, Daejeon, Korea (Republic of)

    Madhusudan Singh

  3. Head of Department of Information Technologies, Tashkent University of Information Technologies, Tashkent, Uzbekistan

    Zaynidinov Hakimjon

Authors
  1. Dhananjay Singh
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  2. Madhusudan Singh
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  3. Zaynidinov Hakimjon
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Correspondence to Dhananjay Singh .

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Singh, D., Singh, M., Hakimjon, Z. (2019). Parabolic Splines based One-Dimensional Polynomial. In: Signal Processing Applications Using Multidimensional Polynomial Splines. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-2239-6_1

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  • DOI: https://doi.org/10.1007/978-981-13-2239-6_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2238-9

  • Online ISBN: 978-981-13-2239-6

  • eBook Packages: EngineeringEngineering (R0)

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