Browsing Institutt for elektroniske systemer by Document Types "Chapter"
Now showing items 41-60 of 122
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Freely-Drifting Small-Satellite Swarms for Sensor Networks in the Arctic
(Chapter, 2018)Satellite communications have been widely used to provide connectivity around the world. However, regions such as the Arctic still have limited coverage, despite the need to monitor this region. Currently, several sensors ... -
Graph diffusion kernel LMS using random Fourier features
(Chapter, 2021)This work introduces kernel adaptive graph filters that operate in the reproducing kernel Hilbert space. We propose a centralized graph kernel least mean squares (GKLMS) approach for identifying the nonlinear graph filters. ... -
Graph Kernel Recursive Least-Squares Algorithms
(Chapter, 2022)This paper presents graph kernel adaptive filters that model nonlinear input-output relationships of streaming graph signals. To this end, we propose centralized and distributed graph kernel recursive least-squares (GKRLS) ... -
Ground systems software for automatic operation of the HYPSO-2 hyperspectral imaging satellite
(Chapter, 2023)HYPSO-1 was launched in January 2022, equipped with a novel hyperspectral imaging payload with the main objective of performing marine research. In 2024, HYPSO-2, with an enhanced capture capacity, will be launched. The ... -
High-concentration wide-angle tracking integration with stacked lens arrays
(Chapter, 2019)Tracking-integration can reduce or eliminate the need for external solar tracking in CPV (concentrator photovoltaics). Previous research has shown how tracking-integrated systems can achieve high concentration ratios, wide ... -
Improving accuracy of the Shewhart-based data-reduction in IoT nodes using piggybacking
(Chapter, 2019)This paper proposes the use of Shewhart test to reduce the number of data-transmissions in IoT networks. It is shown to outperform the widely-used least mean square (LMS) based data reduction method in terms of the number ... -
In Silico Model for Tumor Diagnosis based on Bloodstream Penetrating Extracellular Vesicles
(Chapter, 2023)During the last decade, extracellular vesicles (EVs) have emerged in the scientific community because of their potential as natural drug nanocarriers and biomarkers in disease diagnosis, especially for cancer. While a few ... -
Increasing User Engagement in Virtual Reality:The Role of Interactive Digital Narratives to Trigger Emotional Responses
(Chapter, 2020)Immersive multimedia technologies such as virtual reality (VR) create narrative experiences in the digital medium, thus revolutionizing how people communicate, learn, and think. These Interactive Digital Narratives (IDN) ... -
Integrating sustainability in an electronic engineering program: insights and experiences on academic staff involvement.
(Chapter, 2022)There is a growing urgency to incorporate sustainability in all facets of society to stay within the planetary boundaries. Higher education has a significant role by educating their students - our future work forces – with ... -
A JANUS-Based Consensus Protocol for Parametric Modulation Schemes
(Chapter, 2022)JANUS, the first digital underwater acoustic communications standard, is robust to noise in low SNR situations, but offers very limited data rate. A primary use of JANUS is thus that of a first-contact language in underwater ... -
A joint particle filter for quaternion-valued alpha-stable signals via the characteristic dunction
(Chapter, 2022)The filtering paradigm is revisited through the perspective of characteristic functions. This results in the derivation of a novel particle filtering technique for sequential estimation/tracking of quaternion-valued α ... -
Kalman Filtering and Clustering in Sensor Networks
(Chapter, 2018)In this work, a distributed Kalman filtering and clustering framework for sensor networks tasked with tracking multiple state vector sequences is developed. This is achieved through recursively updating the likelihood of ... -
Kernel regression on graphs in random Fourier features space
(Chapter, 2021)This work proposes an efficient batch-based implementation for kernel regression on graphs (KRG) using random Fourier features (RFF) and a low-complexity online implementation. Kernel regression has proven to be an efficient ... -
Laboratory experiments on ultrasonic logging through casing for barrier integrity validation
(Chapter, 2017)Verification of annular barriers is essential for well integrity, with ultrasonic methods being central in well integrity testing for many decades. By doing ultrasonic pitch-catch measurements on a bench top laboratory ... -
Large-scale Offshore Wind Development and Decarbonization Pathways of the Norwegian Energy System
(Chapter; Conference object, 2023)Modelling of the energy system in the countries surrounding the North Sea is performed with a focus on Norway and offshore wind farms situated in the North Sea. The geographically heterogeneous consumption and production ... -
Lens Flare Attenuation Accelerator Design with Deep Learning and High-Level Synthesis
(Chapter; Conference object, 2023)Lens flare artifacts are undesired visual distortions caused by stray light, which can negatively impact the integrity and quality of an image. These artifacts pose a significant challenge in industrial applications like ... -
Linear MMSE Precoder Combiner Designs for Decentralized Estimation in Wireless Sensor Networks
(Chapter, 2020)This work considers the design of linear minimum mean square error (MMSE) precoders and combiners for the estimation of an unknown vector parameter in a coherent multiple access channel (MAC)-based multiple-input multiple-output ... -
A Low-power and Low-noise Multi-purpose Chopper Amplifier with High CMRR and PSRR
(Chapter, 2020)In this article, by choosing and optimizing suitable structure in each stage, we have designed a multi-purpose low noise chopper amplifier. The proposed neural chopper amplifier with high CMRR and PSRR is suitable for EEG, ... -
A Low-power High-gain Inverter Stacking Amplifier with Rail-to-Rail Output
(Chapter, 2021)In this article, a rail-to-rail low-power amplifier is presented based on stacking inverter-based amplifiers. The output voltages of each inverter-based amplifier are converted to a current and then mirrored to the output ...