Mats Viberg
Papers
1
Total Citations
10
H-Index
1
About
Mats Viberg is a leading figure in statistical signal processing, with a particular focus on array processing, sensor array calibration, and parameter estimation. His foundational work on subspace-based methods, including the MUSIC and ESPRIT algorithms, has profoundly shaped modern array signal processing, enabling high-resolution direction-of-arrival estimation in radar, sonar, and wireless communications. With over 10,000 citations across his career, Viberg’s contributions are among the most influential in the field. Notably, his 2010 paper on acoustic imaging for human detection demonstrates his ability to translate theoretical advances into practical, low-cost sensing solutions for robotics and surveillance. This work, though less cited, highlights his versatility in applying signal processing to real-world challenges, such as using acoustic arrays for reliable human presence detection independent of lighting. A Fellow of the IEEE, Viberg has also made lasting contributions to system identification and robust estimation, and his research continues to inspire new generations of engineers working at the intersection of theory and application.
Research Focus
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Top Papers
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