Our current research topics include:
- Information and communication theory: Capacity of wireless communication networks, interference alignment, information-theoretic limits of compressed sensing, signal separation
- Machine learning and statistics: Deep machine learning, recommender systems, dimensionality reduction, subspace clustering
- Harmonic analysis and signal processing: Compressed sensing, super-resolution, uncertainty relations, frame theory, sampling theory, harmonic analysis over high-dimensional point sets, inverse problems, system identification
We operate an RF and signal processing lab. The labs are equipped with state-of-the-art instrumentation hardware, including a MIMO channel sounder, and a MIMO channel emulator. See our lab page for an overview of our lab projects.
Algorithms, software, and measurement data related to our research can be found on our downloads page.