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Advanced Optoelectronic Detection Technologies and Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 1463

Special Issue Editors


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Guest Editor
School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China
Interests: new semiconductor optoelectronic devices and integration; power power electronic device technology; smart sensors and system integration
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China
Interests: spintronic and magnetic devices; semiconductor devices

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Guest Editor
Associate Professor, School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China
Interests: optoelectronic detection and imaging
Associate Professor, School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China
Interests: microwave and terahertz photonics; optical fiber sensors
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, China
Interests: magnetic materials and devices

Special Issue Information

Dear Colleagues,

It is our pleasure to announce a new Special Issue of Applied Sciences devoted to advanced optoelectronic detection technologies and systems. It will cover both the theoretical and experimental advances of materials, devices, algorithms, and systems in optoelectronic detection technology. Particularly welcome will be works focused on semiconductor, spintronic, magnetic, and terahertz devices, and their applications in sensors and detections. Taking into account that a validation of a supposition is usually realized via a cross-check, the use of combined approaches are also welcomed.

This Special Issue also collects the selected papers from Symposium on Semiconductor Light Source System 2023 organized by the China Electrotechnical Society.

Prof. Dr. Pingjuan Niu
Prof. Dr. Delin Zhang
Dr. Xiuyan Li
Dr. Jia Shi
Dr. Hang Li
Guest Editors

Manuscript Submission Information

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Keywords

  • electrotechnology
  • semiconductor materials, devices, light sources, and systems
  • spintronic and magnetic devices
  • terahertz materials and devices
  • optoelectronic materials
  • optoelectronic devices
  • optoelectronic imaging
  • algorithms in optoelectronic detections

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Published Papers (1 paper)

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Research

18 pages, 7008 KiB  
Article
Design and Implementation of DSLMS Algorithm Based Photoelectric Detection of Weak Signals
by Yang Wang, Min Wang, Zishuo Song and Weihao Bian
Appl. Sci. 2024, 14(10), 4070; https://doi.org/10.3390/app14104070 - 10 May 2024
Viewed by 768
Abstract
Accurately extracting weak signals is extremely important for overall performance and application in optoelectronic imaging and optical communication systems. While weak signals are susceptible to noise, adaptive filtering is a commonly used noise removal method. Still, its convergence speed is slow, the steady-state [...] Read more.
Accurately extracting weak signals is extremely important for overall performance and application in optoelectronic imaging and optical communication systems. While weak signals are susceptible to noise, adaptive filtering is a commonly used noise removal method. Still, its convergence speed is slow, the steady-state error is large, and the anti-interference ability is weak. To solve the above problems, this paper proposes a new type of variable-step-length adaptive filtering algorithm (DSLMS) based on the minutiae function, which effectively reduces the noise component in error through its combination with the pair cancelation system, utilizing the low correlation property of the noise signal, to improve the anti-noise interference ability of the adaptive filter. Using FPGA and Matlab (2018b) for experimental verification, the results show that this algorithm shows significant advantages in noise suppression, accelerated algorithm convergence, and low steady-state error, and it has effectiveness and application potential for the optoelectronic detection of weak signal processing. Full article
(This article belongs to the Special Issue Advanced Optoelectronic Detection Technologies and Systems)
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