Intelligent Signal Processing and Its Application in Various Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 424
Special Issue Editors
Interests: information theoretical learning; adaptive filter; adaptive network; active noise control; Kalman filter; machine learning; artificial intelligence
Interests: statistical signal processing; adaptive filtering; simultaneous localization and mapping (SLAM)
Special Issues, Collections and Topics in MDPI journals
Interests: adaptive filtering; complex signal processing; blind signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Signal processing techniques have been developed with intelligence. Learning ability can be obtained using intelligent signal processing for unknown environments. Various systems, such as power, mechanical, and aerospace systems, are ubiquitous in real life. Many issues existing in those systems can be described by the related models used in signal processing with intelligence.
Intelligent signal processing can realize intelligent control of the system by extracting valuable signals. One of the typical intelligent signal processing methods is adaptive filtering, with LMS as its representative algorithm. Signal processing has found utilization in various systems, such as navigation, location, fault detection, and so on. Therefore, various new intelligent signal processing methods are crucial to the effectiveness of signal processing in those systems.
This Special Issue not only welcomes original research and review articles regarding intelligent signal processing and its applications in power systems, but also an overview of the applications of these two topics.
Prof. Dr. Haiquan Zhao
Prof. Dr. Shiyuan Wang
Dr. Guobing Qian
Guest Editors
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Keywords
- intelligence
- learning ability
- unknown environment
- signal processing
- adaptive filtering
- Kalman filter
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