| The increasing need of methods of detection, and classification of desired information for different applications related to pattern recognition has led to the research and development of approaches and methods that can detect and classify the information. A similar need arises in wireless communication as well, where there is a need of minimizing the interfering signals incoming into antennas, so that the performance of these antennas is increased. This thesis focuses on the use of the Orthogonal Subspace Projection filter for the solution of problems from pattern application, and communication applications. During the study, two approaches were developed: one focuses on the detection of FG in chemical substances, and the other is used in beamforming algorithms to filter out interfering signals that main affect the main antenna beam. The approaches were simulated and tested, resulting in viable options to solve the presented problems. |
