Millimeter-Wave Single-Pixel Imaging Using Electrically-Switchable Liquid-Crystal Mask-Reference-Cited by-同舟云学术

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Millimeter-Wave Single-Pixel Imaging Using Electrically-Switchable Liquid-Crystal Mask

Published:2023-02-01 Issue:2 Volume:E106.C Page:34-40
ISSN:0916-8524
Container-title:IEICE Transactions on Electronics
language:en
Short-container-title:IEICE Trans. Electron.

Author:

HONMA Michinori¹,SASE Takashi¹,ITO Ryota¹,NOSE Toshiaki¹

Affiliation:

1. Department of Information Mechatronics, Akita Prefectural University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Link

https://www.jstage.jst.go.jp/article/transele/E106.C/2/E106.C_2022DII0004/_pdf

Reference34 articles.

1. [1] S. Kharkovsky and R. Zoughi, “Microwave and millimeter wave nondestructive testing and evaluation-Overview and recent advances,” IEEE Instrum. Meas. Mag., vol.10, no.2, pp.26-38, 2007. 10.1109/mim.2007.364985

2. [2] D. Bourreau, A. Péden, and S. Le Maguer, “A quasi-optical free-space measurement setup without time-domain gating for material characterization in the W-band,” IEEE Trans. Instrum. Meas., vol.55, no.6, pp.2022-2028, 2006. 10.1109/tim.2006.884283

3. [3] R. Appleby and R.N. Anderton, “Millimeter-wave and submillimeter-wave imaging for security and surveillance,” Proc. IEEE, vol.95, no.8, pp.1683-1690, 2007. 10.1109/jproc.2007.898832

4. [4] C. Li and L. Chang, “Study on the Applicability of Passive Millimeter Wave Imaging Technology in Real Fire,” IOP Conference Series: Materials Science and Engineering, vol.612, no.5, p.052052, 2019. 10.1088/1757-899x/612/5/052052

5. [5] R. Appleby, “Passive millimetre-wave imaging and how it differs from terahertz imaging,” Philos. Trans. Royal Soc. A: Mathematical, Physical and Engineering Sciences, vol.362, no.1815, pp.379-393, 2004. 10.1098/rsta.2003.1323

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1. Microwave, Millimeter Wave and Terahertz Applications of Liquid Crystal;Modern Antenna;2024

2. An Aging Small-Signal Model for Degradation Prediction of Microwave Heterojunction Bipolar Transistor S-Parameters Based on Prior Knowledge Neural Network;Micromachines;2023-10-30

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