Signal Processing for Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 1440
Special Issue Editors
Interests: wireless sensing; intelligent sensing; human sensing and behavior analysis; pervasive computing; mobile computing
Interests: distributed systems and blockchain; wireless sensing and networking; big data and machine learning; mobile cloud and edge computing
Interests: security and privacy for IoT systems; machine learning security & privacy; mobile/wearable sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the last decade, we have witnessed the rapid development of sensors and an increasing number of studies on making full use of sensory data for various applications, e.g., human sensing, environment sensing, and underwater sensing. Dealing with the collected signal which bears inherent noises due to the hardware imperfections or external interference from the environment is fundamental to achieve a high-performance sensing result. Recent advances in model-driven and data-driven signal processing have made great efforts in tackling the noisy and error-prone signals.
This Special Issue aims to collect original research and review articles on technologies, solutions, applications, and new challenges that are related to signal and sensory data processing. Potential topics include, but are not limited to, the following:
- Model-driven signal processing methods;
- Data-driven signal processing methods;
- Radio frequency signal processing;
- Acoustic signal processing;
- Wearable sensor signal processing;
- Mobile sensor signal processing;
- Time-series signal processing;
- Signal processing for human sensing applications;
- Signal processing for environment sensing applications;
- Signal processing in security-related applications;
- Sensory data management and analytics, including quality, integrity, and trustworthiness;
- Sensor signal processing for resource-constrained and mobile platforms;
- Novel embedded machine learning algorithms on sensor data.
Dr. Yanni Yang
Prof. Dr. Jiannong Cao
Prof. Dr. Pengfei Hu
Dr. Zhenlin An
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Sensors 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 2600 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
- signal processing
- sensory data
- sensing applications
- noise deduction
- interference cancellation
- high-performance sensing
