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Adaptive principal component analysis for online reduced order parameter extraction in PA behavioral modeling and DPD linearization
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper presents a new method, based on the adaptive principal component analysis (APCA) technique, that iteratively creates and updates an orthogonal data matrix used to estimate the parameters of power amplifier (PA) ... -
Adaptive proactive reconfiguration: a technique for process variability and aging aware SRAM cache design
(2014)
Article
Accés obertNanoscale circuits are subject to a wide range of new limiting phenomena making essential to investigate new design strategies at the circuit and architecture level to improve its performance and reliability. Proactive ... -
Adaptive radio resource management for ofdma-based macro- and femtocell networks
(Universitat Politècnica de Catalunya, 2011-07-06)
Tesi
Accés obertLas demandas y expectativas de los usuarios y operadores móviles crecen sin parar y, consecuentemente, los nuevos estándares han incorporado tecnologías de acceso de radio cada vez más eficientes. Las especificaciones ... -
Adaptive real time multimedia transmission
(Universitat Politècnica de Catalunya, 2017-01)
Treball Final de Grau
Accés obertEsta tesis es una propuesta de un sistema de streaming de vídeo en directo que utiliza varias tecnologías actuales y, por otro lado, se beneficia del mundo del software libre y de código abierto. El propósito de desarrollar ... -
Adaptive reconstruction of radar reflectivity in clutter-contaminated areas by accounting for the space-time variability
(Elsevier, 2014-11-12)
Article
Accés obertIdentification and elimination of clutter is necessary for ensuring data quality in radar Quantitative Precipitation Estimates (QPE). For uncorrected scanning reflectivity after signal processing, the removed areas have ... -
Adaptive reduced basis strategy based on goal oriented error assessment for stochastic problems
(2012-06)
Article
Accés obertIn the framework of stochastic non-intrusive finite element modeling, a common practice is using Monte Carlo simulation. The main drawback of this approach is the computational cost, because it requires computing a large ... -
Adaptive refinement for phase-field models of brittle fracture based on Nitsche's method
(Springer, 2020-03-18)
Article
Accés obertA new adaptive refinement strategy for phase-field models of brittle fracture is proposed. The approach provides a computationally efficient solution to the high demand in spatial resolution of phase-field models. The ... -
Adaptive refinement technique for discrete static models of fracture
(CIMNE, 2015)
Text en actes de congrés
Accés obertThe discrete static models are advantageneously used for fracture simulations in heterogeneous materails. These simulations are often extremely computationally demanding. The contribution aims to reduction of computationa ... -
Adaptive remeshing for industrial unsteady CFD
(CIMNE, 2015)
Text en actes de congrés
Accés obertFLUSEPA is an advanced simulation tool which performs a large panel of aerodynamicstudies. It is the unstructured finite-volume solver developed by Airbus Defence& Space tocalculate compressible, multidimensional, unsteady, ... -
Adaptive request scheduling for the I/O forwarding layer using reinforcement learning
(Elsevier, 2020-11)
Article
Accés obertIn this paper, we propose an approach to adapt the I/O forwarding layer of HPC systems to applications’ access patterns. I/O optimization techniques can improve performance for the access patterns they were designed to ... -
Adaptive response surface approximation method for bayesian inference
(CIMNE, 2015)
Text en actes de congrés
Accés obertThe need for surrogate models and adaptive methods can be best appreciated if one is interested in parameter estimation using a Bayesian calibration procedure for validation purposes [1,2]. We extend our work on error ... -
Adaptive runtime-assisted block prefetching on chip-multiprocessors
(2016-04-29)
Article
Accés obertMemory stalls are a significant source of performance degradation in modern processors. Data prefetching is a widely adopted and well studied technique used to alleviate this problem. Prefetching can be performed by the ... -
Adaptive s-aloha cdma as an alternative way of integrating services in mobile environments
(2000-05)
Article
Accés obertCode-division multiple-access (CDMA) schemes appear to be very promising access techniques for coping with the requirements of third-generation mobile systems, mainly because of their flexibility. This paper proposes an ... -
Adaptive S-ALOHA CDMA as an alternative way of integrating services in mobile environments
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2000-05)
Article
Accés obertCode-division multiple-access (CDMA) schemes appear to be very promising access techniques for coping with the requirements of third-generation mobile systems, mainly because of their flexibility. This paper proposes an ... -
Adaptive sampling for fast sparsity pattern recovery
(2011)
Text en actes de congrés
Accés obertIn this paper we propose a low complexity adaptive algorithm for lossless compressive sampling and reconstruction of sparse signals. Consider a sparse non-negative real signal x containing only k << n non-zero values. ... -
Adaptive sampling methods for scaling up knowledge discovery algorithms
(2001-07)
Report de recerca
Accés obertOne of the biggest research challenges in KDD and Data Mining is to develop methods that scale up well to large amounts of data. A possible approach for achieving scalability is to take a random sample and do data mining ... -
Adaptive scheduling on power-aware managed data-centers using machine learning
(2011)
Report de recerca
Accés obertEnergy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ... -
Adaptive scheduling on power-aware managed data-centers using machine learning
(IEEE Computer Society Publications, 2011)
Text en actes de congrés
Accés restringit per política de l'editorialEnergy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient power-aware resource management strategies, also known ... -
Adaptive schemes for packet data in a ds-cdma environment
(IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC., 1997)
Text en actes de congrés
Accés obertThis paper presents a novel adaptive DS-CDMA slotted-ALOHA packet random access scheme for improving the throughput of the conventional DS-CDMA slotted-ALOHA system. For this purpose a mobile-assisted algorithm is envisaged ... -
Adaptive search heuristics for the generalized assignment problem
(Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 2002)
Article
Accés obertThe Generalized Assignment Problem consists of assigning a set of tasks to a set of agents at minimum cost. Each agent has a limited amount of a single resource and each task must be assigned to one and only one agent, ...