Noise Filtering
Mostrando 1-12 de 52 artigos, teses e dissertações.
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1. A Novel In Silico Monte Carlo Approach to Optimize a PSD Estimation Problem. Generation of Data Fusion Experiment Rules
ABSTRACT This article analyzes the performance of combining information from Scanning Electron Microscopy (SEM) micrographs with Static Light Scattering (SLS) measurements for retrieving the so-called Particle Size Distribution (PSD) in terms of experimental features. The corresponding data fusion is implemented using a novel Monte Carlo-based method consist
Trends in Computational and Applied Mathematics. Publicado em: 2022
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2. EFFECT OF WAVELET DE-NOISING ON THE CLASSIFICATION OF PIG BEHAVIOUR
ABSTRACT To efficiently eliminate the noise generated by the triaxial accelerometer when collecting pigs’ behavioural data, this paper adopted SNR and MSE as the indexes to evaluate the de-noising effect of pigs’ acceleration signal under various combinations of wavelet basis, decomposition layer, threshold rule and threshold function. Based on the optim
Eng. Agríc.. Publicado em: 2021-05
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3. A System Based on Artificial Neural Networks for Automatic Classification of Hydro-generator Stator Windings Partial Discharges
Abstract Partial discharge (PD) monitoring is widely used in rotating machines to evaluate the condition of stator winding insulation, but its practice on a large scale requires the development of intelligent systems that automatically process these measurement data. In this paper, it is proposed a methodology of automatic PD classification in hydro-generato
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-09
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4. Classification of Flying Insects with high performance using improved DTW algorithm based on hidden Markov model
ABSTRACT Insects play significant role in the human life. And insects pollinate major food crops consumed in the world. Insect pests consume and destroy major crops in the world. Hence to have control over the disease and pests, researches are going on in the area of entomology using chemical, biological and mechanical approaches. The data relevant to the fl
Braz. arch. biol. technol.. Publicado em: 23/01/2017
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5. Performance Comparison of the IMMPDAF Algorithm Using Real and Simulated Radar Measurements
ABSTRACT Performance indexes obtained in idealized simulated scenarios are the primary source of data for evaluating different target tracking algorithms in most researches presented in the literature. Despite the convenience of simulation, ultimate evaluation of a tracking algorithm must be made in real scenarios. Unfortunately, real radar measurements as w
J. Aerosp. Technol. Manag.. Publicado em: 2016-06
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6. Parameter estimation of an artificial respiratory system under mechanical ventilation following a noisy regime
Abstract Introduction: This work concerns the assessment of a novel system for mechanical ventilation and a parameter estimation method in a bench test. The tested system was based on a commercial mechanical ventilator and a personal computer. A computational routine was developed do drive the mechanical ventilator and a parameter estimation method was util
Res. Biomed. Eng.. Publicado em: 15/12/2015
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7. Phase Noise Effects on Wideband Mobile Radio Channel Sounding
Abstract In this work three wideband mobile radio channel sounding methods are simulated and compared using computational tools. The considered sounders include the traditional STDCC and two other proposed sounding methods that are based on OFDM digital transmission and detection procedures and on matched filtering. The impact of the phase noise introduced b
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2015-12
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8. A flexible multichannel FPGA and PC-Based ultrasound system for medical imaging research: initial phantom experiments
IntroductionIn this paper, we present the initial results of a fully programmable 128-channel FPGA and PC-based system that has been developed for medical ultrasound (US) imaging research in our University laboratory (Federal University of Technology - Paraná, Brazil).MethodsIn order to demonstrate the feasibility of the US research system, two applications
Res. Biomed. Eng.. Publicado em: 29/09/2015
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9. An Extended Kalman Filter-Based Technique for On-Line Identification of Unmanned Aerial System Parameters
ABSTRACT: The present article deals with the identification, at the same time, of aircraft stability and control parameters taking into account dynamic damping derivatives. Such derivatives, due to the rate of change of the angle of attack, are usually neglected. So the damping characteristics of aircraft dynamics are attributed only on pitch rate derivative
J. Aerosp. Technol. Manag.. Publicado em: 2015-09
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10. Novas propostas em filtragem de projeções tomográficas sob ruído Poisson
In this dissertation we present techniques for filtering of tomographic projections with Poisson noise. For the filtering of the tomogram projections we use variations of three filtering techniques: Bayesian estimation, Wiener filtering and thresholding in Wavelet domain. We used ten MAP estimators, each estimator with a diferent probability density as prior
Publicado em: 2010
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11. Geração e avaliação de produtos híbridos CBERS-2B para a identificação de fragmentos de vegetação arbórea / Generation and evaluation of CBERS-2B hybrid products for the identification of arboreal vegetation fragments
This study aims to evaluate two hybrid CBERS-2B products of 2.5 m and 10 m spatial resolution, for mapping forest fragments at Ibitinga Sao Paulo state, Brazil. In order to reduce the blurring effect in CBERS-2B images, the restoration methods Modified Inverse Filtering, Richardson-Lucy, Modified Richardson-Lucy and ones based on POCS theory and neural netwo
Publicado em: 2010
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12. Optimum filtering to improve the performance of DOA-ML estimators / Filtragem otima para melhorar o desempenho de estimadores DOA-ML
We approached the estimation of direction of arrival (DOA) of plane waves using an array of sensors. In the literature there are several DOA estimators, but we considered only the maximum likelihood (ML) estimators that generate candidates for DOA estimation and select the best one through an ML criterion. We also considered situations where the signal sourc
Publicado em: 2009