One-Dimensional Polynomial Splines for Cubic Splines

  • Dhananjay SinghEmail author
  • Madhusudan Singh
  • Zaynidinov Hakimjon
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)


This paper outlines the methods of spline and outlines the best tools and their features for signal processing and analysis. Studies of spline functions indicate that algorithms generated with them are convenient for use in digital signal processors. This is because algorithmic computation of coefficients and algorithms of recovery of signals include operations like parallel additions, multiplication and multiplication with accumulation which are typical for digital processing of signals. An extensive analysis of existing hardware intended for digital processing indicated that architecture and availability of hardware implemented special multiplication commands, parallel accumulative multiplication at Harvard could allow wide use of modern digital signal processors for implementation of spline-recovery methods.


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Copyright information

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Dhananjay Singh
    • 1
    Email author
  • Madhusudan Singh
    • 2
  • Zaynidinov Hakimjon
    • 3
  1. 1.Department of Electronics EngineeringHankuk University of Foreign Studies (Global Campus)YonginKorea (Republic of)
  2. 2.School of Technology Studies, Endicott College of International StudiesWoosong UniversityDaejeonKorea (Republic of)
  3. 3.Head of Department of Information TechnologiesTashkent University of Information TechnologiesTashkentUzbekistan

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