Scientists make signal and image processing algorithms better
TSU mathematicians have completed a project on mathematical methods for analyzing signals and images in complex telecommunication and navigation systems that are affected by random noise. The methods they created make evaluating information 10 times more accurate and help to restore the image or signal with high quality. The next step in the work will be the application of the algorithm to analyzing big data.
Mathematical methods for analyzing signals and images developed by scientists from the TSU international Laboratory of Random Process Statistics and Quantitative Financial Analysis apply to the recognition of signals in aviation, decoding of images from an MRI device in medicine, analysis of topographic images for oil and gas growth, and other processes. The results obtained by the mathematicians will be used to build new radar systems for operational analysis and monitoring of the environment, satellite navigation systems, and promising systems for receiving and transmitting information.