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Balan, Radu

Radu Balan
2308 Math Building

Research Interests 

Signal processing: sparse signal estimation, source separation; applied harmonic analysis: frames, time-frequency/time-scale shift operator algebras, time-scale symbols of bounded operators; machine learning: data embedding into higher dimensional spaces—support vector machines, kernel methods, reproducing kernel Hilbert spaces; intelligent systems: sensor fusion and models of human-machine interaction

Related News 

Radu Balan receives NSF grant for optimizing sensor arrays
The technology will process acoustic and electromagnetic waveforms to discover both the number and location of sources in multi-path, noisy environments. May 1, 2014

Radu Balan is new ISR affiliated faculty member
Research interests are in signal processing, applied harmonic analysis and machine learning. October 22, 2008