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Evaluation Methods of Spline

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Signal Processing Applications Using Multidimensional Polynomial Splines

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

Abstract

This paper outlines the methods of spline and outlines the best tools and their features for signal processing and analysis. An extensive analysis of existing hardware intended for digital processing indicated that architecture and availability of hardware implemented special multiplication special multiplication commands, parallel accumulative multiplication at Harvard could allow wide use of modern digital signal processors for implementation of spline-recovery methods. MATLAB instrumental tools help in accelerating the application development process due to tools like language for working with matrixes, visual modelling and automatic generation of the software code, and various other packages that offer different knowledge inputs in a single environment. MATLAB’s powerful and easy-to-use language for matrix computations provides a natural representation for signals; thus, it is highly applicable in digital processing of signals. Additional packages of applied MATLAB (toolboxes) and Simulink blocks are the richest sources of premade functions for further extension, basic blocks for construction of models and visual tools visually working with signals.

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

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Singh, D., Singh, M., Hakimjon, Z. (2019). Evaluation Methods of Spline. 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_5

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  • DOI: https://doi.org/10.1007/978-981-13-2239-6_5

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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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