DOI 10.14209/sbrt.2013.25
Amanda de Paula, Cristiano M. Panazio
Nesse artigo é apresentada uma análise do algoritmo
LMS por difusão no contexto especı́fico em que cada nó na rede
possui uma SNR diferente. Através de uma análise de autovalores,
é mostrada qual condição os passos de adaptação de cada nó da
rede deve obedecer, a fim de garantir que o algoritmo apresente
uma taxa de convergência fixada. Sob essa...
algoritmo adaptativoLMS por difusãoanálise de autovalores.
DOI 10.14209/sbrt.2013.90
H. M. de Oliveira, R. J. Cintra, R. C. de Oliveira
Neste artigo apresenta-se uma representação para wavelets usando sinais em banda básica, explorando resultados de Kotel’nikov. Detalhes de como obter os processos de envoltória e de fase em baixa frequência são apresentados. A interpretação clássica de wavelets como uma análise com banco de filtros de fator de qualidade constante é revisitada nestas...
—waveletsbanco de filtros Q-constantewavelets ortogonaisrepresentação passa-faixa para wavelets
DOI 10.14209/sbrt.2013.97
Luiz Eduardo Sales e Silva, Kenny Vinente dos Santos, Waldir Sabino da Silva Júnior
Currently, there is a growing interest from the scientific and/or industrial community in respect to methods that offer solutions to the problem of fiducial points detection of human faces. Some methods use the SVM for classification, but we observed that some formulations of optimization problems were not discussed. In this article, we propose to...
SVMpattern detectionfiducial points.
DOI 10.14209/sbrt.2013.91
Kenji Nose-Filho, Denis G. Fantinato, Romis Attux, Aline Neves, J.M.T. Romano
A crucial performance measure in the context of
the problem of deconvolution is the level of residual intersymbol
interference (ISI), a metric that is classically understood and
formulated in terms of an L 2 -norm perspective. In order to
enhance the scope of ISI quantification, we propose a novel
entropy-based performance measure, which is called...
Deconvolutionintersymbol interferenceperfor- mance measureL p -normsinformation-theoretic learningen- tropy.
DOI 10.14209/sbrt.2013.98
Kenny Vinente dos Santos, Luiz Eduardo Sales e Silva, Waldir Sabino da Silva Júnior
, Waldir Sabino da Silva Júnior
Discriminative filtering is a pattern recognition technique which aim maximize the energy of output signal when a pattern is found. Looking improve the perfomance of filter response, was incorporated the principal component analysis in discriminative filters project. In this work we looking investigate the influence of the amount of principal components in...
Pattern RecognitionDiscriminative FilteringPrincipal Component AnalysisFiducial Points Detection
DOI 10.14209/sbrt.2013.92
Silas L. Silva, C. Alexandre R. Fernandes
Inthispaper,westudyandanalysetheperformance oftheIterativeCorrectionHardDetectiontechniqueforcancellation of nonlinear distortions in OFDMA communication systems. This technique was developed and widely tested for OFDM systems.However,tothebestofourknowledge,theapplicationof this technique in OFDMA systems is unexplored in the literature. The application...
OFDMAiterative correction hard detectionnonlinear amplifiermultiuser detection.
DOI 10.14209/sbrt.2013.99
Lucas S. Pereira, Roger L. Farias, Cleiton Lucatel, Marcos V. T. Heckler, Alexis F. Tinoco S.
Este artigo apresenta o estudo e projeto de antenas
de microfita com geometria em fenda anelar para aplicações em
sistemas de navegação via satélite. Duas estruturas são propostas
contendo uma fenda anelar construída sobre um laminado de
micro-ondas e alimentação em série ou através de um acoplador
híbrido de 90° na parte inferior. Através dos...
Antena em fenda anelarantenas para sistemas de navegação via satéliteantena circularmente polarizadaGPSGNSS.
DOI 10.14209/sbrt.2013.93
Emanual D. R. Sena, André L. F. de Almeida
In this work, we propose a facial recognition system that exploits the multilinear nature of images. The feature extraction occurs in two stages. First, Gabor wavelets are used for feature selection. Then, the higher order singular value decomposition (HOSVD) is applied to separate the multimodal factors of the images. Two approaches based on Euclidean...
Multilinear AlgebraGabor Waveletstensor decompositionsmultimodal imagesface recognition
DOI 10.14209/sbrt.2013.100
K. Q. Costa, V. Dmitriev, J. L. Souza, G. L. Silvano
In this paper, we analyze the impedance matching characteristic of an optical nanocircuit fed by Gaussian beam. The circuit is composed by a receiving and an emitting dipole connected by a two-wire optical transmission line. The receiving dipole is illuminated by a focused Gaussian beam with λ =830nm and beam waist of 340nm. The numerical analysis of...
Nanoantennasoptical nanocircuitimpedance matchingGaussian beammethod of moments (MoM).
DOI 10.14209/sbrt.2013.94
José Vinícius de Miranda Cardoso, Ítalo de Pontes Oliveira, Carlos Danilo Miranda Regis, Marcelo Sampaio de Alencar
This paper presents new results on the objective evaluation of stereoscopic video quality. A balance between the scores provided by classical objective algorithms and the disparity information of the reference video is presented, along with a comparison between the approximations used to compute the local spatial information. The performance of the...
Stereoscopic VideoObjective Evaluation TechniquesSpatial Perceptual InformationDisparity