Dr.sc. Ivica Kopriva

My current research activities include:

• Algorithms for blind signal processing  (independent component analysis, sparse component analysis, nonnegative matrix and tensor factorizations, kernel-based nonlinear blind source separation, blind deconvolution) with applications: in medical image analysis (multi-spectral  fluorescent imaging, CT and magnetic resonance imaging), EEG data analysis, hyperspectral remote sensing, chemometrics (extraction of pure components-metabolites from mixtures of NMR and mass spectra).

• Basis learning methods for sparse representation of signals and algorithms for nonlinear reconstruction of signals sampled in sub-Nyquist regime: applications to missing data reconstruction, denoising and solution of underdetermined blind source separation problem.