Comparative analysis of a selected DCT-based compression scheme for haptic data transmission

Baran, Abdurrahman Eray and Kuzu, Ahmet and Boğosyan, Seta and Gökaşan, Metin and Şabanoviç, Asif (2016) Comparative analysis of a selected DCT-based compression scheme for haptic data transmission. IEEE Transactions on Industrial Informatics, 12 (3). pp. 1146-1155. ISSN 1551-3203 (Print) 1941-0050 (Online)

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Abstract

In this study, a novel compression and decompression algorithm, namely the selected discrete cosine transform (DCT), is presented for implementation in networked motion control systems. The proposed method relies on the utilization of a selection algorithm based on bubble sorting to choose the highest power coefficients of the signal obtained by using DCT. In order to better illustrate the effectiveness of the proposed method, comparisons are made with the methods existing in the literature. To this aim, the basics of the compression schemes used in the comparison, namely, the DCT, discrete Fourier transform, and wavelet packet transform, are also briefly discussed followed by the derivation of the proposed method. The algorithmic bases of all four schemes are given to provide further reference for practical applications. The proposed method is tested on an experimental platform consisting of a single-single-degree-of-freedom master and slave systems, and the results are comparatively analyzed based on relevant performance evaluation metrics. The obtained results demonstrate the improvement achieved by the proposed compression scheme over the existing compression methods used in network-based motion control applications, hence proving the feasibility of the approach in tele-operation systems.
Item Type: Article
Uncontrolled Keywords: Bilateral control; haptic data compression; selected discrete cosine transform (sDCT); teleoperation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-4661 Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics
Faculty of Engineering and Natural Sciences
Depositing User: Asif Şabanoviç
Date Deposited: 08 Nov 2016 15:59
Last Modified: 26 Apr 2022 09:34
URI: https://research.sabanciuniv.edu/id/eprint/29748

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