Learning-based adaptive control methods hold the potential to empower autonomous agents in mitigating the impact of process variations with minimal human intervention. However, their application to autonomous underwater vehicles (AUVs) has been constrained by two main challenges: (1) the presence of unknown dynamics in the form of sea current distu...
The POSEIDON project aims at defining solutions for scalable CF-mMIMO operating in the sub-6GHz frequencybands where the available spectral resources are scarce. In particular, scalable CF-mMIMO architectures must beable to handle i) to support the dramatic increase in wireless traffic demand, which is caused by the exponentialgrowth of connected w...
Effective recognition of spatial patterns and learning their hierarchy is crucial in modern spatial data analysis. Volumetric data applications seek techniques ensuring invariance not only to shifts but also to pattern rotations. While traditional methods can readily achieve translational invariance, rotational invariance possesses multiple challen...
This paper seeks to improve the state-of-the-art in delay-networkbased analysis-synthesis of measured room impulse responses (RIRs). We propose an informed method incorporating improved energy decay estimation and synthesis with an optimized feedback delay network. The performance of the presented method is compared against an end-to-end deep-learn...
Channel estimation plays an important role in underwater acoustic communications, with applications in phase-coherent modulation schemes and preparation of replay channels. Quantifying the estimation error is a challenge, however, as the true channel remains unknown. This paper introduces the channel replay error (CRE) as the difference between a t...
Underwater communication receivers usually rely on the fine-tuning of numerous hyperparameters to perform optimally. This fine-tuning process is challenging and time-consuming, and must be carried out by domain experts. Using a receiver with a decision-feedback equalizer (DFE), it is shown that finding optimal hyperparameters can be formalized as a...
As part of the EU-funded CAMS (Copernicus Atmospheric Monitoring Services) project, the CAMS Radiation Service (CRS) provides estimates of direct and global downwelling solar irradiance (SSI). The SSI estimate uses ozone, water vapor and aerosols from CAMS and cloud properties assessed with the APOLLO_NG algorithm. In parallel to the continuous imp...
The ISPRS Journal of Photogrammetry and Remote Sensing is the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). The Journal provides a communication channel for scientists and professionals in all countries working in the many disciplines that use photogrammetry, remote sensing, spatial information systems...
Miniaturized CMOS hyperspectral cameras utilizing Fabry-Perot Interferometers (FPIs) have emerged as a low-cost solution providing fast-acquisition miniaturized sensors well-suited for both in-field analysis and remote sensing. However, FPIs generate harmonics around each wavelength of interest, hindering the accuracy and reliability of spectral in...
In this paper, Gallium Nitride (GaN) blue microLight-Emitting-Diodes (µLEDs) reported on a 200-mm Silicon substrate are utilized for multi-Gb/s data transmission. The manufacturing process is compatible with CMOS integrated circuit design, paving the way for fully integrated transmitters for µLED-based visible light communications (VLC) or chip-to-...
