A Quantization Method for Haptic Data Lossy Compression

被引：0

作者：

Nakano, Tomohiro ^{[1
]}

Uozumi, Seiji ^{[1
]}

Johansson, Rolf ^{[2
]}

Ohnishi, Kouhei ^{[3
]}

机构：

[1] Keio Univ, Grad Sch Sci & Technol, Yokohama, Kanagawa, Japan

[2] Lund Univ, Dept Automat Control, Lund, Sweden

[3] Keio Univ, Dept Syst Design Engn, Yokohama, Kanagawa, Japan

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM) | 2015年

关键词：

MANIPULATOR; IMAGE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a quantization scheme for haptic data compression is proposed and the results of its application to a motion copying system are described. The data compression of image and audio data has been researched a lot. However, the data compression of haptic data has not been much researched yet although the amount of haptic data is large in general. The discrete cosine transform (DCT) is used for the lossy compression of haptic data in this paper. A new quantization scheme using characteristics of DCT is proposed. By using a proposed method, a larger signal-to-noise ratio compared to conventional method is achieved. In the experiment, the validity of the proposed method was verified.

引用

页码：126 / 131

页数：6

共 50 条

[31] Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization
Tao, Dingwen
Di, Sheng
Chen, Zizhong
Cappello, Franck
2017 31ST IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), 2017, : 1129 - 1139
[32] Distributed Binary Detection With Lossy Data Compression
Katz, Gil
Piantanida, Pablo
Debbah, Merouane
IEEE TRANSACTIONS ON INFORMATION THEORY, 2017, 63 (08) : 5207 - 5227
[33] Optimal algorithm for lossy vector data compression
Kolesnikov, Alexander
IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS, 2007, 4633 : 761 - 771
[34] Lossy Compression of Weak-Lensing Data
Vanderveld, R. Ali
Bernstein, Gary M.
Stoughton, Chris
Rhodes, Jason
Massey, Richard
Johnston, David
Dobke, Benjamin M.
PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, 2011, 123 (906) : 996 - 1003
[35] Lossy Data Compression for IoT Sensors: A Review
Arias Correa, Juan David
Roschildt Pinto, Alex Sandro
Montez, Carlos
INTERNET OF THINGS, 2022, 19
[36] Lossy Compression for Wireless Seismic Data Acquisition
Rubin, Marc J.
Wakin, Michael B.
Camp, Tracy
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (01) : 236 - 252
[37] Lossy Compression of Quality Values in Sequencing Data
Morales, Veronica Suaste
Houghten, Sheridan
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 18 (05) : 1958 - 1969
[38] A survey on lossy compression of DSC raw data
Fischer, Gregor
Kunz, Dietmar
Koehler, Katja
DIGITAL PHOTOGRAPHY IV, 2008, 6817
[39] Spectral Distortion in Lossy Compression of Hyperspectral Data
Aiazzi, Bruno
Alparone, Luciano
Baronti, Stefano
Lastri, Cinzia
Selva, Andmassimo
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2012, 2012
[40] On reduction of input data for lossy compression of images
Hayat, A
Choi, TS
OPTICAL ENGINEERING, 2004, 43 (02) : 371 - 375

← 1 2 3 4 5 →