Adaptive Filters in Signal Processing for IoT-Enabled Sensing Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 34
Special Issue Editor
Interests: adaptive signal processing; machine learning; IoT; noise cancellation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Adaptive filters are indispensable tools in signal processing, offering dynamic parameter adjustment to optimize performance in varying environments. This Special Issue seeks to highlight innovative research and developments in adaptive filtering techniques and their integration with IoT-enabled sensing systems. Topics of interest include but are not limited to the following:
- Adaptive filtering algorithms (e.g., LMS, RLS, Kalman filters) and their applications in IoT systems;
- Machine learning integration with adaptive signal processing for enhanced performance;
- Real-time adaptive filtering in IoT devices and networks;
- Noise cancellation and signal separation in IoT-enabled sensing systems;
- Biomedical signal processing using adaptive filters in IoT healthcare applications;
- Industrial IoT and adaptive filtering for process monitoring and control;
- Environmental monitoring with adaptive signal processing in IoT networks;
- Smart cities and adaptive filtering for efficient data processing;
- Federated learning and adaptive filtering integration for privacy and scalability in IoT systems;
- Adaptive antenna technologies for IoT connectivity and interference management;
- Matérn kernel adaptive filtering for efficient data processing in IoT systems;
- Smart sensor integration in structural health monitoring and IoT-enabled safety systems.
Prof. Dr. Ying-Ren Chien
Guest Editor
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Keywords
- adaptive filtering
- signal processing
- IoT-enabled sensing systems
- IoT systems
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