This paper approaches the problem of signal denoising in time-variable noise conditions. Non-stationary noise results in variable degradation of the signal’s useful information content over time. In order to maximize the correct recovery of the useful part of the signal, this paper proposes a denoising method that uses a criterion based on amplitude segmentation and […]
Laboratory for Information Processing and Pattern Recognition
INNO2MARE – Strengthening the capacity for excellence of Slovenian and Croatian innovation ecosystems to support the digital and green transitions of maritime regions
European Digital Innovation Hub Adria Croatia
Application of Laser Systems for Detection and Ranging in the Modern Road Transportation and Maritime Sector
The development of light detection and ranging (lidar) technology began in the 1960s, following the invention of the laser, which represents the central component of this system, integrating laser scanning with an inertial measurement unit (IMU) and Global Positioning System (GPS). Lidar technology is spreading to many different areas of application, from those in autonomous […]
Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen’s, Affine, and Reassigned Classes
This paper explores three groups of time–frequency distributions: the Cohen’s, affine, and reassigned classes of time–frequency representations (TFRs). This study provides detailed insight into the theory behind the selected TFRs belonging to these classes. Extensive numerical simulations were performed with examples that illustrate the behavior of the analyzed TFR classes in the joint time–frequency domain. […]
Assoc. prof. Jonatan Lerga received the Croatian Academy of Sciences and Arts award
Assoc. Prof. Dr. Sc. Jonatan Lerga received an annual award from the Croatian Academy of Sciences and Arts for the highest scientific achievements in 2021 in the field of technical sciences for the work “Advanced Digital Signal Processing and Machine Learning,” containing 28 scientific papers in renowned international journals (13 of which were published in […]
Dr. Sc. Nikola Lopac successfully defended his doctoral dissertation
Dr. Sc. Nikola Lopac successfully defended his doctoral dissertation “Detection of Gravitational-Wave Signals from Time-Frequency Distributions Using Deep Learning” at the University of Rijeka, Faculty of Engineering on the 11th of March 2022. The doctoral dissertation was defended under the supervision of Assoc. Prof. Dr. Sc. Jonatan Lerga.
Improved Parametrized Multiple Window Spectrogram with Application in Ship Navigation Systems
In analyzing non-stationary noisy signals with time-varying frequency content, it’s convenient to use distribution methods in joint, time and frequency, domains. Besides different adaptive data-driven time-frequency (TF) representations, the approach with multiple orthogonal and optimally concentrated Hermite window functions is an effective solution to achieve a good trade-off between low variance and minimized stable bias […]
BlueNavi: A Microservices Architecture-Styled Platform Providing Maritime Information
Traditional methods of marine navigation are undergoing a revolution brought about by the almost universal adoption of the Automatic Identification System (AIS). AIS exchanges a wealth of navigational information among vessels and between ships to shore through Very High Frequency (VHF). With AIS data integrated into the Electronic Chart Display and Information System (ECDIS), the […]
Shipboard Data Compression Method for Sustainable Real-Time Maritime Communication in Remote Voyage Monitoring of Autonomous Ships
Due to the ever-increasing amount of data collected and the requirements for the rapid and reliable exchange of information across many interconnected communication devices, land-based communications networks are experiencing continuous progress and improvement of existing infrastructures. However, maritime communications are still characterized by slow communication speeds and limited communication capacity, despite a similar trend of […]
