Electromagnetic wave pattern detection using cepstral features in the manufacturing field

Author:

Ohnishi Ayano1,Miyamoto Michio1,Takeuchi Yoshio1,Maeyama Toshiyuki12,Hasegawa Akio1,Yokoyama Hiroyuki1

Affiliation:

1. Advanced Telecommunications Research Institute International

2. Takushoku University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

General Medicine

Reference12 articles.

1. [1] IEEE 802 Nendica Report, “Flexible factory IoT: Use cases and communication requirements for wired and wireless bridged networks,” IEEE SA Industry Connections White Paper, April 2020.

2. [2] A. Ohnishi, M. Miyamoto, Y. Takeuchi, A. Hasegawa, and H. Yokoyama, “A study of noise pattern detection for frequency sharing among various communications under high electromagnetic noise in the manufacturing field,” Proc. 2020 IEICE General Conference, B-17-28, 2020 (in Japanese).

3. [3] M. Miyamoto, A. Ohnishi, Y. Takeuchi, A. Hasegawa, and H. Yokoyama, “Development of measurement technology for frequency sharing among various communications under high electromagnetic noise in the manufacturing field,” Proc. 2020 IEICE General Conference, B-17-27, 2020 (in Japanese).

4. [4] D.G. Childers, D.P. Skinner, and R.C. Kemerait, “The cepstrum: A guide to processing,” Proc. IEEE, vol. 65, no. 10, pp. 1428-1443, 1977. DOI: 10.1109/PROC.1977.10747

5. [5] A.V. Oppenheim and R.W. Schafer, “From frequency to quefrency: A history of the cepstrum,” IEEE Signal Process. Mag., vol. 21, no. 5, pp. 95-106, 2004. DOI: 10.1109/MSP.2004.1328092

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