The project is directed toward developing computational algorithms based on advanced digital signal processing techniques and artificial intelligence methods. The research will particularly focus on the computer-aided analysis of non-stationary signals using two-dimensional quadratic time-frequency distributions, where the improvement in time-frequency resolution and robustness to noise will be thoroughly studied. Moreover, adaptive algorithms for non-stationary signal denoising will also be investigated. The considered digital signal processing algorithms will be combined and upgraded by artificial intelligence methods, particularly those relying on deep learning algorithms, such as convolutional neural networks. Finally, the developed algorithms will be validated using synthetic and experimental data acquired from various real-life applications. The project’s second phase will include an analysis of the potential applications of novel digital technologies and the developed computational algorithms in the modern transportation sector, including autonomous vehicles, maritime communications and electronic navigation systems, and autonomous navigation.
