An Explicit Form of Signum Function

In this paper, the author derives an analytical exact form of signum function, which evidently constitutes a fundamental concept of Communication Systems and Control Theory along with digital control systems and is also involved in many other fields of applied mathematics and engineering practices. In particular, this significant function is performed in a simple manner as a finite combination of purely algebraic representations. The novelty of this work when compared to other analytical expressions of this nonlinear function is that the proposed explicit representation is not performed in terms of miscellaneous special functions, such as Bessel functions, error function, and beta function, and also is neither the limit of a function nor the limit of a sequence of functions with a point-wise or uniform convergence.

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Publication Details

Journal
Mathematics
Published
2024-10-17
DOI
https://doi.org/10.3390/math12203246
Citations
2
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.69
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article

An Explicit Form of Signum Function

J. Venetis
2 citations
Mathematics
Neural Networks and Applications
0.69
article

An Explicit Form of Signum Function

J. Venetis
article en
2 citations

Abstract

In this paper, the author derives an analytical exact form of signum function, which evidently constitutes a fundamental concept of Communication Systems and Control Theory along with digital control systems and is also involved in many other fields of applied mathematics and engineering practices. In particular, this significant function is performed in a simple manner as a finite combination of purely algebraic representations. The novelty of this work when compared to other analytical expressions of this nonlinear function is that the proposed explicit representation is not performed in terms of miscellaneous special functions, such as Bessel functions, error function, and beta function, and also is neither the limit of a function nor the limit of a sequence of functions with a point-wise or uniform convergence.

MathematicsVol. 12(20)
National Technical University of Athens (GR)
Openalex Percentile: Top 24%
Neural Networks and Applications
0.69
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