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Zahran, Bilal
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Computer Science & IT Electrical & Electronics Engineering

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Developing digital signal clustering method using local binary pattern histogram Rasras, Rashad J.; Zahran, Bilal; Abu Sara, Mutaz Rasmi; AlQadi, Ziad
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i1.pp872-878

Abstract

In this paper we presented a new approach to manipulate a digital signal in order to create a features array, which can be used as a signature to retrieve the signal. Each digital signal is associated with the local binary pattern (LBP) histogram; this histogram will be calculated based on LBP operator, then k-means clustering was used to generate the required features for each digital signal. The proposed method was implemented, tested and the obtained experimental results were analyzed. The results showed the flexibility and accuracy of the proposed method. Althoug different parameters of the digital signal were changed during implementation, the results obtained showed the robustness of the proposed method.
Co-Authors Abu Sara, Mutaz Rasmi Alqadi, Ziad Rasras, Rashad J.