Recent Advancements and Applications of Signal Processing

Dear Colleagues,

This Special Issue (SI) is entitled “Recent Advancements and Applications of Signal Processing”. In the field of signal processing, the main trends are automation, intelligence, and the use of multiple sensors. Many methods based on new or existing theorems have recently been proposed, while the corresponding applications are progressing extensively and in depth. Radio detection and ranging (Radar), as a significant microwave sensor, possess the capability of working in all weather conditions and all day and night and have been flourishing with the blessing of image technology. Today, the emerging radar applications include remote sensing, synthetic aperture processing, compressive sensing for sparse radar signal recovery, convex optimization, sparse Bayesian learning (SBL), structure-guaranteed algorithm, the alternating direction method of multipliers (ADMM), radar image processing, target detection and recognition, etc.; the field also many essential concepts or structures with methods in telecommunication, sonar application, image processing, analysis, and artificial intelligence, in addition to conventional radar signal processing. Therefore, we look forward to the latest research on radar signal processing and the aforementioned research fields. Authors are welcome and encouraged to submit their manuscripts of original work on any of the following or related areas:

• Sparse signal recovery;
• Radar signal processing of machine learning methods;
• Radar signal processing of sparse Bayesian learning methods;
• Radar signal processing of the alternating direction method of multipliers (ADMM);
• Radar signal processing of convex optimization;
• Synthetic aperture radar signal processing;
• Sonar signal processing;
• Target detection and recognition;
• Multi-input and multi-output radar signal processing;
• Radar signal feature refining;
• Advanced radar system and applications;
• Ground-penetrating radar;
• Telecommunication signal processing;
• Image processing;
• Artificial intelligence.

Dr. Min Bao
Dr. Song Zhou
Dr. Bin Wang
Guest Editors

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