Programa de Doctorat en Teoria del Senyal i Comunicacions: Envíos recientes
Mostrando ítems 41-60 de 332
Advanced methods for earth observation data synergy for geophysical parameter retrieval
The first part of the thesis focuses on the analysis of relevant factors to estimate the response time between satellite-based and in-situ soil moisture (SM) using a Dynamic Time Warping (DTW). DTW was applied to the SMOS ...
Synergistic optical and microwave remote sensing approaches for soil moisture mapping at high resolution
Soil moisture is an essential climate variable that plays a crucial role linking the Earth’s water, energy, and carbon cycles. It is responsible for the water exchange between the Earth’s surface and the atmosphere, and ...
Deriving vertical total electron content maps from SMOS full polarimetric data to compensate the Faraday rotation effect
The Faraday rotation is a geophysical effect that causes a rotation of the electromagnetic field components emitted by the Earth when it propagates through the ionosphere. It depends on the vertical total electron content ...
Energy-driven techniques for massive machine-type communications
In the last few years, a lot of effort has been put into the development of the fifth generation of cellular networks (5G). Given the vast heterogeneity of devices coexisting in these networks, new approaches have been ...
Mobile 5G millimeter-wave multi-antenna systems
Massive antenna architectures and millimeter-wave bands appear on the horizon as the enabling technologies of future broadband wireless links, promising unprecedented spectral efficiency and data rates. In the recently ...
Data and methods for a visual understanding of sign languages
Signed languages are complete and natural languages used as the first or preferred mode of communication by millions of people worldwide. However, they, unfortunately, continue to be marginalized languages. Designing, ...
Study and application of spectral monitoring techniques for optical network optimization
One of the possible ways to address the constantly increasing amount of heterogeneous and variable internet traffic is the evolution of the current optical networks towards a more flexible, open, and disaggregated paradigm. ...
Three dimensional temporal-spatial model based SAR algorithms for monitoring large gradient deformations in mining area
Firstly, an External Model Deformation Decomposition based Persistent Scatters Interferometry (EMDD-PSI) method has been proposed. This method first uses original interferograms to optimize the parameters of the external ...
Contribution to the modelling and evaluation of radio network slicing solutions in 5G
Network slicing is a key feature of 5G architecture that allows the partitioning of the network into multiple logical networks, known as network slices, where each of them is customised according to the specific needs of ...
Learning multilingual and multimodal representations with language-specific encoders and decoders for machine translation
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 ...
Allocation designs for massive multiple access with interference cancellation
In the transition towards the next generation of wireless technology systems, the increasing number of devices curbs the potential of current wireless networks to cope with such increases in network density. Wireless ...
Transmission impairments mitigation in next generation coherent optical access networks
Worldwide, the coherent technologies have revolutionized the optical communication systems, significantly increasing the capacity of the fiber channel owing to transmission of advanced modulation formats and effective ...
Machine learning assisted QoT estimation for optical networks optimization
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 ...
Development of novel instruments and techniques for passive microwave remote sensing
Earth Observation using satellites has helped to better model our planet. The goal of such systems is to provide large data sets to help to understand the effects of our actions on the climate, to predict storms in near ...
Wireless sensors embedded in high permittivity lossy media
The design of wireless sensors for operation embedded in a medium with high losses creates a series of additional constraints that should be taken into consideration at design stage to enhance sensor performance. In such ...
Sports broadcasting and multiple object tracking with deep learning methods
Since less than a decade ago, deep learning techniques started to dominate many different fields, revolutionizing the possibilities of artificial intelligence. Seeing their potential, industrial sectors started to invest ...
Nonlinear analysis of electro-acoustic frequency-selective devices for communications
Nowadays, mobile devices have become a key technology in our lives, making us become part of a connected world, in which millions of mobile handsets are sold every year. In order to satisfy the user demands, many mobile ...
Synthesis of acoustic wave filters : ladder and transversal topologies : towards a practical implementation
The meteoric growth of the mobile communication market for the last three decades has been strongly related with the evolution of the electroacoustic (EA) filter technology. With way over 5 billion cell phone users worldwide ...
Matrix completion with prior information in reproducing kernel Hilbert spaces
In matrix completion, the objective is to recover an unknown matrix from a small subset of observed entries. Most successful methods for recovering the unknown entries are based on the assumption that the unknown full ...
Self-supervised deep learning approaches to speaker recognition
In speaker recognition, i-vectors have been the state-of-the-art unsupervised technique over the last few years, whereas x-vectors is becoming the state-of-the-art supervised technique, these days. Recent advances in Deep ...
