Advances in Design and Signal Processing of Sensors
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 (10 January 2024) | Viewed by 2594
Interests: optical imaging; point cloud processing; signal processing
Interests: micro (optical) electromechanical system design and dynamic testing; intelligent detection and control; multi-physical field polarization parameter imaging and detection
In recent years, with the continuous development of cutting-edge technologies such as artificial intelligence, the Internet of Things and 5G, sensors have become an indispensable presence in industrial development. The rapid introduction of robots, unmanned aerial vehicles and autonomous vehicles, as well as the in-depth construction of smart cities, have also created broad development opportunities for sensor researches.
However, the sensor field still faces many unresolved problems in the design and signal processing for applications in complex environments. Typical challenges include the miniaturization, intellectualization and integration of sensors, the amplification and denoising of weak signals, fault diagnosis, and the heterogeneous data fusion.
This Special Issue is dedicated to new advances in the design and signal processing of sensors. We invite prospective authors to submit innovative and high-quality papers with original perspectives. The Special Issue is open to both original research articles and review articles covering all relevant progress in the fields, including, but not limited to:
- Sensors’ principles and design including MEMS IMU, lidar, gas sensors, magnetic fluid accelerometers.
- Miniaturization and integration of sensors.
- Signal denoising, feature extraction and fault diagnosis based on sensor fusion.
- Calibration method, signal collection and testing of sensors.
- Sensors’ applications, AI applications in machine/deep learning, reinforcement learning.
Dr. Xiaobin Xu
Dr. Yun Cao
Manuscript Submission Information
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- signal processing
- feature extraction
- fault diagnosis
- AI applications