Faculty: Ivica Kopriva
 
Ivica Kopriva

 
  Research
Selected Publications
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Research

Research work is being carried out in the fields of electromagnetic and acoustic array signal processing, digital image restoration of the low light level infrared images, imaging through atmospheric turbulence, superresolution optical and nonoptical imaging, unsupervised learning with applications in classification of multispectral and hyperspectral remote sensing as well as unsupervised adaptive filtering with applications to interference cancellation problems, application of independent component analysis to increase selectivity and sensitivity of the chemical detector arrays.

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Selected Publications

  • Du, I. Kopriva and H. Szu (2005). Independent Component Analysis for Hyperspectral Remote Sensing, accepted for Optical Engineering.
  • H. Szu and I. Kopriva (2005). Unsupervised Learning with Stochastic Gradient, accepted for Neurocomputing.
  • Q. Du, I. Kopriva, and H.Szu (2004). Independent Component Analysis for Classifying Multispectral Images with Dimensionality Limitation, International Journal of Information Acquisition, vol. 1, No. 3.
  • I. Kopriva and H. Szu. (2004). Space-time Variant Blind Sources Separation with Additive Noise, Lecture Notes in Computer Science 3195, pp. 240-247, Springer Verlag, Proceedings of the Fifth International Conference on Independent Component Analysis and Blind Signal Separation, eds. C.G. Puntonet and A. Prieto, Granada, Spain, September 22-24.
  • I. Kopriva, Q. Du, H. Szu and W. Wasylkiwskyj (2004). Independent Component Analysis Approach to Image Sharpening in the Presence of Atmospheric Turbulence, Optics Communications, Vol. 233 (1-3) pp. 7-14.
  • H. Szu, P. Chanyagorn, and I. Kopriva. (2002). Sparse Coding Blind Source Separation through Powerline, Neurocomputing, Vol. 48 (1-4) pp. 1015-1020.
  • I.Kopriva, H.H.Szu, A.Persin. (2002). Optical Reticle Trackers With Multi-Source Dicrimination Capability By Using Independent Component Analysis, Optics Communications, Vol. 203 (3-6) pp. 197-211.
  • H. H. Szu, I. Kopriva. (2001). Artificial Neural Networks for Noisy Image Super-resolution, Optics Communications, Vol. 198 (1-3) pp. 71-81.
  • H. H. Szu, I. Kopriva, A. Peršin. (2000). Independent component analysis approach to resolve the multi-source limitation of the nutating rising-sun reticle based optical trackers, Optics Communications, Vol. 176 (1-3) pp. 77-89.
  • I. Kopriva, A. Peršin. (1999). Discrimination of optical sources by use of adaptive blind source separation theory, Applied Optics, Vol. 38, No. 7, pp. 1115-1126.
  • K. Cosic, I. Kopriva, T. Kostic, M. Slamic, M. Volarevic. (1999). Design and implementation of a hardware-in-the-loop simulator for a semi-automatic guided missile system, Journal Simulation Practice & Theory, Vol. 7, Issue 2, pp. 107-123.
  • K. Cosic, I. Kopriva, T. Šikic. (1997). The methodology for digital real time simulation of dynamic systems using modern DSPs, Journal Simulation Practice & Theory, Vol. 5, Issue 2, pp. 137-151.
  • K. Cosic, I. Kopriva. (1994). Some Improvements of The State Transition Method in Real Time Simulation of Linear Systems, Transactions of the SCS, Vol. 11, No. 1, pp. 29-43.
  • K. Cosic, I. Miler, I. Kopriva. (1992). Workstation for Integrated System Design and Development, Simulation, Vol. 58, No. 3, pp. 152-162.
  • K. Cosic, I. Kopriva. (1987). Synthesis of time discrete models for digital real time simulations, Automatika 28, No. 5-6, pp.155-168.

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Senior Research Scientist
2031 K St. NW #340L
Phone: 202-994-5508, Fax: 202 994-0227
ikopriva@gwu.edu


B.S.E.E. 1987, Military Technical Faculty, Zagreb, Croatia
M.S.E.E. 1990 and Ph.D. 1998,
Faculty of Electrical Engineering and Computing, Zagreb, Croatia