Proceedings of International Conference on Applied Innovation in IT 2015/03/19, Volume 3, Issue 1, pp.29-35 Comparative Analysis of Signals Restoration by Different Kinds of ApproximationIrina Strelkovskaya, Olena Lysiuk, Roman ZolotukhinAbstract: 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 DOI: 10.13142/kt10003.06 Download: PDF References:
|
|
DOI: http://dx.doi.org/10.25673/115729
Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
ISSN 2199-8876
Publisher: Edition Hochschule Anhalt
Location: Anhalt University of Applied Sciences
Email: leiterin.hsb@hs-anhalt.de
Phone: +49 (0) 3496 67 5611
Address: Building 01 - Red Building, Top floor, Room 425, Bernburger Str. 55, D-06366 Köthen, Germany
Except where otherwise noted, all works and proceedings on this site is licensed under Creative Commons Attribution-ShareAlike 4.0 International License.