Browsing Institutt for elektroniske systemer by Title
Now showing items 641-660 of 2289
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Distributed acoustic sensing and 4D seismic time-strain inversion for subsurface monitoring
(Doctoral theses at NTNU;2023:280, Doctoral thesis, 2023)Subsurface monitoring plays an important role in utilising subsurface resources and preventing geologic hazards. This thesis comprises dissemination of the research in using seismic methods for subsurface monitoring. Here ... -
Distributed acoustic sensing for near-surface imaging using submarine telecommunication cable: A case study in the Trondheimsfjord, Norway
(Journal article; Peer reviewed, 2021) -
Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway
(Peer reviewed; Journal article, 2023)Distributed acoustic sensing (DAS) leverages an ocean-bottom telecommunication fiber-optic cable into a densely sampled array of strain sensors. We demonstrate DAS applications to passive acoustic monitoring (PAM) through ... -
Distributed adaptive filtering of alpha-stable signals
(Journal article; Peer reviewed, 2018)A cost-effective framework for distributed adaptive filtering of α-stable signals over sensor networks is proposed. First, the filtering paradigm of α-stable signals through multiple observations made over a network of ... -
Distributed Detection and Localization
(Doctoral theses at NTNU;2024:84, Doctoral thesis, 2024)This thesis delves into the detection and localization aspects of distributed Wireless Sensor Networks (WSNs). Specifically, the research concentrates on WSNs in which sensors autonomously carry out detection tasks and ... -
Distributed Detection in Wireless Sensor Networks under Multiplicative Fading via Generalized Score-tests
(Peer reviewed; Journal article, 2021)In this paper, we address the problem of distributed detection of a non-cooperative (unknown emitted signal) target with a Wireless Sensor Network (WSN). When the target is present, sensors observe an (unknown) deterministic ... -
Distributed interference and data buffer management for cognitive radio
(Master thesis, 2010)Future wireless communications are focused on develop new paradigms of spectrum reuse, i.e. cognitive radio, where radio frequencies can be taken into used if no other use is detected. In this way, these systems need ... -
Distributed Kalman filtering and control through embedded average consensus information fusion
(Journal article; Peer reviewed, 2019)This paper presents a unified framework for distributed filtering and control of state-space processes. To this end, a distributed Kalman filtering algorithm is developed via decomposition of the optimal centralized Kalman ... -
Distributed Kalman filtering in presence of unknown outer network actuations
(Journal article; Peer reviewed, 2019)This letter presents a fully distributed approach for tracking state vector sequences over sensor networks in presence of unknown actuations. The problem arises in large-scale systems where modeling the full dynamics becomes ... -
Distributed Kalman Filtering with Privacy against Honest-but-Curious Adversaries
(Chapter, 2021)This paper proposes a privacy-preserving distributed Kalman filter (PP-DKF) to protect the private information of individual network agents from being acquired by honest-but-curious (HBC) adversaries. The proposed approach ... -
Distributed Kalman filtering: Consensus, diffusion, and mixed
(Chapter, 2018)A distributed Kalman filtering technique is developed for tracking state-space processes via sensor networks. Considering the optimal solution to multi-agent sequential filtering of linear Gaussian state-space processes, ... -
Distributed Learning and Estimation with Enhanced Privacy and Security
(Doctoral theses at NTNU;2023:59, Doctoral thesis, 2023)This thesis focuses on threat analysis and management in distributed learning scenarios intending to develop algorithms to mitigate the impact of adversaries in the network. The thesis begins with a threat analysis that ... -
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning
(Chapter, 2021)We develop a new algorithm for distributed learning with non-smooth regularizers and feature partitioning. To this end, we transform the underlying optimization problem into a suitable dual form and solve it using the ... -
Distributed Learning with Non-Smooth Objective Functions
(Chapter, 2020)We develop a new distributed algorithm to solve a learning problem with non-smooth objective functions when data are distributed over a multi-agent network. We employ a zeroth-order method to minimize the associated augmented ... -
Distributed quantile regression with non-convex sparse penalties
(Peer reviewed; Journal article, 2023)The surge in data generated by IoT sensors has increased the need for scalable and efficient data analysis methods, particularly for robust algorithms like quantile regression, which can be tailored to meet a variety of ... -
Distributed Ridge Regression with Feature Partitioning
(Chapter, 2019)We develop a new distributed algorithm to solve the ridge regression problem with feature partitioning of the observation matrix. The proposed algorithm, named D-Ridge, is based on the alternating direction method of ... -
Distributed source coding in sensor networks: A practical implementation
(Master thesis, 2007)In this thesis we take a closer look at wireless sensor networks and source coding. A necessary condition for this work to have any meaning is that the sensors in the network are spatially co-located and that there is ... -
Distributed Topology for Improved Thermal Performance in RFPA Design
(Master thesis, 2022)Denne oppgaven tar for seg hvordan en distribuert topologi kan benyttes for å redusere den termiske belastningen i effektforsterkere. Dette er en høyaktuell problemstilling i moderne radiosystem med redusert effektivitet ... -
Distribution Based Spectrum Sensing in Cognitive Radio
(Master thesis, 2010)Blind spectrum sensing in cognitive radio is being addressed in this thesis. Particular emphasis is put on performance in the low signal to noise range. It is shown how methods relying on traditional sample based estimation ... -
Diving-wave time-lapse delay for CO2 thin layer detection
(Peer reviewed; Journal article, 2024)We have derived an analytical approximate expression to estimate the delay in diving seismic waves due to thin layers of CO2. The expression is valid for high frequencies and can be used to estimate the delay in diving ...