Algorithms Complexity
Mostrando 1-12 de 120 artigos, teses e dissertações.
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1. Efficient Low-Complexity Optimized Channel Estimating Methods for OFDM-Based Low-Voltage Broadband Power Line Communication Systems
Abstract Broadband Power Line Communication (BB-PLC) technology enables data transmission for smart grid applications. Nevertheless, channel equalizers are required in the receiver to estimate and compensate for the nonlinear time-variant impulse response and noise interference effects introduced by the BB-PLC channel. In this paper, we append the Particle S
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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2. ECG Signals Classification Using Overlapping Variables to Detect Atrial Fibrillation
ABSTRACT In the present work a method for the detection of the cardiac pathology known as atrial fibrillation is proposed by calculating different information, statistics and other nonlinear measures over ECG signals. The original database contains records corresponding to patients who are diagnosed with this disease as well as healthy subjects. To formulate
Trends in Computational and Applied Mathematics. Publicado em: 2022
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3. AUTOMATED INDIVIDUAL TREE DETECTION IN AMAZON TROPICAL FOREST FROM AIRBORNE LASER SCANNING DATA
ABSTRACT Light Detection and Ranging (LiDAR) derived individual tree crown attributes can potentially serve as a tool for ecology and forest dynamics studies and reduce field inventory costs. In this study, four methods of individual tree detection (ITD), Watershed, Silva et al. (2016), Dalponte and Coomes (2016), and Coomes et al. (2017), were evaluated in
CERNE. Publicado em: 20/12/2019
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4. Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees
Abstract Introduction Intuitive prosthesis control is one of the most important challenges in order to reduce the user effort in learning how to use an artificial hand. This work presents the development of a novel method for pattern recognition of sEMG signals able to discriminate, in a very accurate way, dexterous hand and fingers movements using a reduce
Res. Biomed. Eng.. Publicado em: 17/08/2017
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5. Adaptive Wideband Beamforming Based on Digital Delay Filter
Abstract A novel adaptive wideband beamforming method is proposed, where beamforming is achieved by LMS based space-time adaptive filtering algorithm. Conventional broadband beamforming requires desired signal to be incident from the broadside i.e. direction normal to the array. The new method overcome this constraint by make use of digital delay filters whi
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2016-09
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6. COMPLEXITY OF FIRST-ORDER METHODS FOR DIFFERENTIABLE CONVEX OPTIMIZATION
This is a short tutorial on complexity studies for differentiable convex optimization. A complexity study is made for a class of problems, an "oracle" that obtains information about the problem at a given point, and a stopping rule for algorithms. These three items compose a scheme, for which we study the performance of algorithms and problem complexity. Our
Pesqui. Oper.. Publicado em: 2014-12
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7. JOINT OPTIMIZATION OF PRODUCTION PLANNING AND VEHICLE ROUTING PROBLEMS: A REVIEW OF EXISTING STRATEGIES
Keen competition and increasingly demanding customers have forced companies to use their resources more efficiently and to integrate production and transportation planning. In the last few years more and more researchers have also focused on this challenging problem by trying to determine the complexity of the individual problems and then developing fast and
Pesqui. Oper.. Publicado em: 2014-08
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8. Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals
ABSTRACT: The nonlinear unscented Kalman filter (UKF) is evaluated for the satellite orbit determination problem, using Global Positioning System (GPS) measurements. The assessment is based on the robustness of the filter. The main subjects for the evaluation are convergence speed and dynamical model complexity. Such assessment is based on comparing the UKF
J. Aerosp. Technol. Manag.. Publicado em: 2013-12
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9. Nonlinear effects compensation in Optical Coherent PDM-QPSK Systems
Nonlinear effects has been appointed as the main limitation in coherent optical fiber transmission. Digital Back-Propagation algorithms and Maximum Likelihood Sequence Estimation are two of the current studied methods to cope with such impairment and extend the systems maximum reach. In this article, we analyzed both methods in a 112 Gb/s Dual Polarization Q
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2013-12
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10. Optimizing similarity queries in metric spaces meeting user\ s expectation / Otimização de operações de busca por similaridade em espaços métricos
The complexity of data stored in large databases has increased at very fast paces. Hence, operations more elaborated than traditional queries are essential in order to extract all required information from the database. Therefore, the interest of the database community in similarity search has increased significantly. Two of the well-known types of similarit
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/10/2012
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11. Evolving granular systems = : Sistemas granulares evolutivos / Sistemas granulares evolutivos
In recent years there has been increasing interest in computational modeling approaches to deal with real-world data streams. Methods and algorithms have been proposed to uncover meaningful knowledge from very large (often unbounded) data sets in principle with no apparent value. This thesis introduces a framework for evolving granular modeling of uncertain
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/07/2012
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12. Estimação e previsão da estrutura a termo das taxas de juros usando técnicas de inteligência computacional / Term structure of interest rate modeling and forecasting using computational intelligence techniques
This work proposes the term structure of interest rates modeling and forecasting using computational intelligence techniques, based on data from the US and Brazilian fixed income markets. The yield curve modeling includes the use of some evolutionary computation methods like Genetic Algorithms, Differential Evolution and Evolution Strategies in comparison wi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/06/2012