Now showing items 172-191 of 346

    Impulsive noise cancellation and channel estimation in power line communication systems 

    Shrestha, Deep (Date of defense: 2019-09-13)

    Power line communication (PLC) is considered as the most viable enabler of the smart grid. PLC exploits the power line infrastructure for data transmission and provides an economical communication backbone to support the ...

    Injection of linguistic knowledge into neural text generation models 

    Casas Manzanares, Noé (Date of defense: 2020-12-14)

    Language is an organic construct. It emanates from the need for communication and changes through time, influenced by multiple factors. The resulting language structures are a mix of regular syntactic and morphological ...

    Integrated IT and SDN Orchestration of multi-domain multi-layer transport networks 

    Mayoral López de Lerma, Arturo (Date of defense: 2019-07-25)

    Telecom operators networks' management and control remains partitioned by technology, equipment supplier and networking layer. In some segments, the network operations are highly costly due to the need of the individual, ...

    Interferometric GNSS-R processing : modeling and analysis of advanced processing concepts for altimetry 

    Martín Alemany, Francisco (Date of defense: 2015-07-14)

    This PhD dissertation is focused on the use of the opportunity signals from the Global Navigation Satellite Systems (GNSS), that scatter-off the Earth's surface for perform ocean mesoscale altimetry (the so called GNSS-R ...

    Interferometric orbit determination for geosynchronous earth sensing missions 

    Nicolás Álvarez, Jorge (Date of defense: 2023-05-16)

    (English) Future Geosynchronous Synthetic Aperture Radar (GEOSAR) missions will provide permanent monitoring of continental areas of the planet with revisit times of less than 24 h. Several GEOSAR missions have been studied ...

    Introducing linguistic knowledge into statistical machine translation. 

    Gispert Ramis, Adrià (Date of defense: 2007-01-26)

    Aquesta tesi està dedicada a l'estudi de la utilització de informació morfosintàctica en el marc dels sistemes de traducció estocàstica, amb l'objectiu de millorar-ne la qualitat a través de la incorporació de informació ...

    Investigation of continuous-wave range-resolved lidar systems for gas detection and concentration measurement 

    Batet Torrell, Óscar (Date of defense: 2011-07-27)

    The techniques for detection of the atmosphere constituents and their distribution in the space have evolved in the last years driven by needs in the environmental, meteorological and climate science fields and backed by ...

    Investigation of reflective optical network units for bidirectional passive optical access networks 

    Arellano Pinilla, Cristina (Date of defense: 2007-07-25)

    Esta investigación está conducida a la resolución del problema de encontrar soluciones rentables para el despliegue de redes de fibra hasta el hogar (Fibre to the Home - FTTH). En una red de FTTH, el equipo transmisor-receptor ...

    Knowledge graph population from news streams 

    Fernández Cañellas, Dèlia (Date of defense: 2023-10-09)

    (English) Media producers publish large amounts of multimedia content online - both text, audio, image and video. As the online media market grows, the management and delivery of contents becomes a challenge. Semantic ...

    Large vocabulary continuous speech recognition for the transcription of Catalan broadcast news and conversations : towards analysis and modelling of acoustic reduction in spontaneous speech 

    Schulz, Henrik (Date of defense: 2017-03-02)

    The transcription of spontaneous speech still poses a challenge to state-of-the-art methods for automatic speech recognition. The present thesis describes the comprehensive development of a large vocabulary continuous ...

    Learning multilingual and multimodal representations with language-specific encoders and decoders for machine translation 

    Escolano Peinado, Carlos (Date of defense: 2022-03-18)

    This thesis aims to study different language-specific approaches for Multilingual Machine Translation without parameter sharing and their properties compared to the current state-of-the-art based on parameter-sharing. We ...

    Learning to extract features for 2D – 3D multimodal registration 

    Pujol Miró, Alba (Date of defense: 2020-09-18)

    The ability to capture depth information form an scene has greatly increased in the recent years. 3D sensors, traditionally high cost and low resolution sensors, are being democratized and 3D scans of indoor and outdoor ...

    Lidar and S-band radar profiling of the atmosphere : adaptive processing for boundary-layer monitoring, optical-parameter error estimation, and application cases 

    Lange Vega, Diego (Date of defense: 2014-07-17)

    This Ph.D. thesis addresses remote sensing of the atmosphere by means of lidar and S-band clear-air weather radar, and related data signal processing. Active remote sensing by means of these instruments offers unprecedented ...

    Lidar remote sensing and co-operative observations: Processing methods and aerosol radiative transfer 

    Barragán Cuesta, Rubén (Date of defense: 2019-07-05)

    This Ph.D. thesis focuses on: (i) the design and integration of a polarimetric channel for the multi-spectral Raman lidar station of the Universitat Politècnica de Catalunya (UPC), Remote Sensing, Antennas, Microwaves and ...

    Lidar sensing of the atmosphere: receiver design and inversion algorithms for an elastic system 

    Rocadenbosch Burillo, Francesc (Date of defense: 1996-12-16)

    LIDAR es un acrónimo de LIght Detection And Ranging. En la presente tesis, se usan técnicas basadas en lidar elástico para monitorizar la atmósfera remotamente y derivar información cuantitativa acerca de sus parámetros ...

    Lifelong AI-driven zero-touch network slicing 

    Rezazadeh, Farhad (Date of defense: 2023-11-13)

    (English) The sixth-generation (6G) network's evolution necessitates advancements in algorithms and architecture to transition from an AI-native to an intrinsic trustworthy automation-native system. Network slicing creates ...

    Link level performance evaluation and link abstraction for LTE/LTE-advanced downlink 

    Serra Pagès, Albert (Date of defense: 2016-02-05)

    Els objectius principals d'aquesta tesis són l'avaluació del rendiment a nivell d'enllaç i l'estudi de l'abstracció de l'enllaç pel LTE/LTE-Advanced DL. S’ha desenvolupat un simulador del nivell d'enllaç E-UTRA DL basat ...

    Machine learning algorithms for 5G optical networks 

    Ibrahim Mohamed Badr, Asmaa (Date of defense: 2023-07-18)

    (English) Throughout this thesis we addressed 5G network challenges. The non-coherent optical modulation tradeoff has been addressed, as we proposed FBMC and artificial intelligence-based schemes. The proposed schemes ...

    Machine learning assisted QoT estimation for optical networks optimization 

    Mahajan, Ankush (Date of defense: 2021-09-28)

    The tremendous increase in data traffic has spurred a rapid evolution of the optical networks for a reliable, affordable, cost effective and scalable network infrastructure. To meet some of these requirements, network ...

    Machine learning techniques for adaptive polynomial and neural network digital predistorters 

    López Bueno, David (Date of defense: 2023-07-07)

    (English) The power amplifier (PA) is a core element in the radio transmitters to support the required mobile and fixed broadband communication link ranges. However, the PA is a power-hungry and nonlinear by nature device. ...