Author:
Tabatabaei Sayed Mohamad,Chalechale Abdolah
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference33 articles.
1. Al-Assaf, Y.: Surface myoelectric signal analysis: dynamic approaches for change detection and classification. IEEE Trans. Biomed. Eng. 53(11), 2248–2256 (2006)
2. Alahmadi, A., Hussain, M., Aboalsamh, H., Muhammad, G., Bebis, G., Mathkour, H.: Passive detection of image forgery using DCT and local binary pattern. Signal Image Video Process. 11(1), 81–88 (2017)
3. Bingham, E., Kaski, S., Laaksonen, J., Lampinen, J.: Advances in Independent Component Analysis and Learning Machines. Academic Press, Cambridge (2015)
4. Chatlani, N., Soraghan, J.J.: Local binary patterns for 1-d signal processing. In: Signal Processing Conference, 2010 18th European, pp. 95–99. IEEE (2010)
5. Ertuğrul, Ö.F., Kaya, Y., Tekin, R.: A novel approach for SEMG signal classification with adaptive local binary patterns. Med. Biol. Eng. Comput. 54(7), 1137–1146 (2016)
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