Proceedings of International Conference on Applied Innovation in IT  ·  2015/03/19  ·  Vol. 3  ·  Issue 1  ·  pp. 29–35
Comparative Analysis of Signals Restoration by Different Kinds of Approximation
Irina Strelkovskaya, Olena Lysiuk, Roman Zolotukhin
📄 Download PDF DOI: 10.13142/kt10003.06
Abstract
The comparative analysis of continuous signals restoration by different kinds of approximation is performed. The software product, allowing to define optimal method of different original signals restoration by Lagrange polynomial, Kotelnikov interpolation series, linear and cubic splines, Haar wavelet and Kotelnikov-Shannon wavelet based on criterion of minimum value of mean-square deviation is proposed. Practical recommendations on the selection of approximation function for different class of signals are obtained.
Keywords
restoration signal approximation Kotelnikov series spline functions wavelet functions cubic spline deviation software product mean-square deviation
References
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