The core staff of the research group
The Department of Theoretical Basis of Radio Engineering
22 theses have been completed, including 7 for the Doctor of Technical Sciences degree
List of the most important scientific projects, developments and other results:
- 2004--2016: the foundations of the statistical theory of the passive seismic location (PSL) were laid. Approaches to automatic processing of seismic signals in PSL systems in real time were established. A few PSL products were created in collaboration with FSUE PA Sever. Among them is the commercially manufactured product "Azimut 1" which was adopted for the supply of the armed forces of the Russian Federation.
- 2014--2015: an unparalleled in Russia seismic testing ground was established on the NSTU basis, significantly expanding the possibilities of scientific research and new technology development.
- New mathematical models describing the discrete Gaussian fields with separable spectral correlation characteristics were proposed and researched. They were the basis for fast multidimensional filtering methods allowing to process images and other multidimensional signals in a recurring form.
- Methods of constructing two-stage Bayesian estimation procedures of multidimensional non-Gaussian signals and images were developed. They are based on the conditional independence of random fields and use incomplete data optimally.
- The staff of the research group developed non-parametric image processing algorithms based on ranks statistics were and solved the problems with automatic image recognition of the known configuration objects. The main advantage of the algorithms is the stable recognition in unfamiliar observation conditions, which allows eliminating the dependence of the video procession quality on the time of day, season and other factors.
- New rank algorithm of image segmentation has been developed and its performance has been studied. The problem with local adaptive nonlinear image filter, also based on rank statistics, has been solved
- The problem with two-stage signal recovery in the spacial non-invariant non-causal distortions has been solved. The parallel-recursive algorithm obtained combines a near-optimal processing quality and high computational efficiency.
