Advances in Applied Optics and Optical Signal Processing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: 30 July 2024 | Viewed by 4685

Special Issue Editors


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Guest Editor
State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: optical communication; physical layer encryption; optical signal processing

E-Mail Website
Guest Editor
School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
Interests: optical communication; optical signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid development of the digital era requires high-speed and high-performance applied optics and optical signal processing techniques to realize the generation, encryption, transmission, processing, display, and computing of high-speed broadband signals. This Special Issue focuses on the latest advances of technologies in optical communications, encryption, sensing, computing, metrology and microwave applications, from systems/subsystems to integrated photonic devices/systems.

This Special Issue will publish high-quality, original research papers in the overlapping fields of:

  • Wideband optical communication;
  • Photonic encryption;
  • Artificial intelligence and machine learning in optical information processing;
  • Microwave photonics;
  • Thz photonics;
  • Photonic neural networks;
  • Optical sensing.

Dr. Xianfeng Tang
Prof. Dr. Jianping Li
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optical communication
  • physical layer encryption
  • optical sensing
  • photonic computing
  • microwave photonics
  • Thz photonics
  • optical information processing

Published Papers (4 papers)

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Research

14 pages, 496 KiB  
Article
Universally Composable Oblivious Transfer with Low Communication
by Jiashuo Song, Dongfei Wang, Zhenzhen Zhang, Zhenzhen Li, Haiyang Ding and Zichen Li
Appl. Sci. 2023, 13(4), 2090; https://doi.org/10.3390/app13042090 - 06 Feb 2023
Viewed by 921
Abstract
In this paper, a universally composable 1-out-of-N oblivious transfer protocol with low communication is built. This protocol obtained full simulation security based on the modulo learning with rounding (Mod-LWR) assumption. It can achieve universally composable security in the random oracle machine (ROM) model [...] Read more.
In this paper, a universally composable 1-out-of-N oblivious transfer protocol with low communication is built. This protocol obtained full simulation security based on the modulo learning with rounding (Mod-LWR) assumption. It can achieve universally composable security in the random oracle machine (ROM) model by combining random OT based on the key exchange protocol with the authentication encryption algorithm. It can be proven to resist static adversary attacks by simulating all corruption cases. Based on computer simulation and detailed mathematical derivation, this protocol was practicable and had better efficiency and lower communication. Full article
(This article belongs to the Special Issue Advances in Applied Optics and Optical Signal Processing)
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8 pages, 1698 KiB  
Communication
A New Monocular Pose Estimation Method for the Coplanar P4P Problem
by Xudong Yu and Yang Shang
Appl. Sci. 2023, 13(1), 183; https://doi.org/10.3390/app13010183 - 23 Dec 2022
Viewed by 1295
Abstract
The Perspective of N Points (PNP) problem in optical measurement and machine vision is to estimate the pose parameters of an object by a monocular image. For traditional coplanar P4P methods, the four points must have known coordinates or be a rectangle’s four [...] Read more.
The Perspective of N Points (PNP) problem in optical measurement and machine vision is to estimate the pose parameters of an object by a monocular image. For traditional coplanar P4P methods, the four points must have known coordinates or be a rectangle’s four vertices. In this paper, a new method of the P4P problem for parallelogram objects without shape parameters is proposed to solve the objects’ pose and shape parameters based on the parallelogram vertices’ relative coordinate constraints. The correctness and effectiveness of the method have been verified through experiments. In addition to being used to estimate a parallelogram object’s pose and shape, the new method extends the conclusions of the coplanar P4P problem when the four points are a parallelogram’s four vertices. Full article
(This article belongs to the Special Issue Advances in Applied Optics and Optical Signal Processing)
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12 pages, 4962 KiB  
Article
A Topology Based Automatic Registration Method for Infrared and Polarized Coupled Imaging
by Aiqi Zhong, Qiang Fu, Danfei Huang, Kang Zong and Huilin Jiang
Appl. Sci. 2022, 12(24), 12596; https://doi.org/10.3390/app122412596 - 08 Dec 2022
Cited by 1 | Viewed by 859
Abstract
In multi-source camera collaborative imaging research, it is known that the differences in size and resolution of the sensor chip, the angle of view and field of view when imaging, and the imaging characteristics of optical systems between cameras, makes image registration a [...] Read more.
In multi-source camera collaborative imaging research, it is known that the differences in size and resolution of the sensor chip, the angle of view and field of view when imaging, and the imaging characteristics of optical systems between cameras, makes image registration a topic that can never be avoided in data analysis and post-processing. Additionally, lacking common features between multi-source images means that the accurate registration of multi-modal images can only be completed manually. Aiming at the registration problem of the polarization parameter image and infrared image, this study takes advantage of the invariant feature of the imaging target topology and introduces the image texture-based segmentation method to obtain the target topology structure. Subsequently, the registration control points are extracted based on the target topology skeleton, which can break through the limitation of feature differences, improve the robustness of the algorithm to target transformation, and realize the automatic registration of multi-source images. Full article
(This article belongs to the Special Issue Advances in Applied Optics and Optical Signal Processing)
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14 pages, 4542 KiB  
Article
Optimal Option of n-Level Polybinary Transformation in Faster than Nyquist System According to the Time-Packing Factor
by Peng Sun, Wenbo Zhang, Dongwei Pan and Xiaoguang Zhang
Appl. Sci. 2022, 12(21), 11227; https://doi.org/10.3390/app122111227 - 05 Nov 2022
Viewed by 982
Abstract
According to an in-depth analysis of the relationship among n-level polybinary transformation, the time-packing factor and the performance of the decoding algorithm, we find that the appropriate n-level polybinary transformation can improve the performance of the decoding algorithm within a certain range of [...] Read more.
According to an in-depth analysis of the relationship among n-level polybinary transformation, the time-packing factor and the performance of the decoding algorithm, we find that the appropriate n-level polybinary transformation can improve the performance of the decoding algorithm within a certain range of the time-packing factor in the Faster than Nyquist (FTN) system. In this paper, we explain the reason that this phenomenon occurs. Based on the above analysis, we propose a modified blind phase search (BPS) algorithm to compensate for phase noise (PN) in the FTN system with an extremely small time-packing factor. As a result, the modified-BPS algorithm can cope with the PN with the linewidth × symbol rate at 1.07 × 10−5, 1.79 × 10−5, 2.86 × 10−5 and 3.57 × 10−5 under a time-packing factor of 0.55, 0.50 and 0.45, respectively. At the same time, the spectrum efficiency (SE) is improved to 3.27 bit/s/Hz, 4 bit/s/Hz and 4.88 bit/s/Hz. Full article
(This article belongs to the Special Issue Advances in Applied Optics and Optical Signal Processing)
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