Results 41 to 50 of about 36,871 (305)
Artifact free signal denoising with wavelets [PDF]
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002 Recent years have seen the development of signal denoising algorithms based on the wavelet transform. It has been shown that thresholding the wavelet coefficients of a noisy signal allows us to restore the smoothness of the original signal. However, wavelet denoising suffers a main drawback: around discontinuities the reconstructed signal is smoothed ...
Durand, Sylvain, Froment, Jacques
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On signal denoising by EMD in the frequency domain [PDF]
2015 23rd European Signal Processing Conference (EUSIPCO), 2015 In this work a new denoising scheme based on the empirical mode decomposition associated with a frequency analysis is introduced. Compared to classical approaches where the extracted modes are thresholded in time domain, in the proposed strategy the thresholding is done in the frequency domain. Each mode is divided into blocks of equal length where the
Hadj Ahmed Bay Ahmed +3 more
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Atmosphere, 2021 The lidar is susceptible to the dark current of the detector and the background light during the measuring process, which results in a significant amount of noise in the lidar return signal.
Minghuan Hu +4 more
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An iterative wavelet threshold for signal denoising
Signal Processing, 2019 This paper introduces an adaptive filtering process based on shrinking wavelet coefficients from the corresponding signal wavelet representation. The filtering procedure considers a threshold method determined by an iterative algorithm inspired by the control charts application, which is a tool of the statistical process control (SPC).
Fábio M. Bayer +2 more
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Mixture-model-based signal denoising [PDF]
Advances in Data Analysis and Classification, 2007 This paper proposes a new signal denoising methodology for dealing with asymmetrical noises. The adopted strategy is based on a regression model where the noise is supposed to be additive and distributed following a mixture of Gaussian densities. The parameters estimation is performed using a Generalized EM (GEM) algorithm.
Samé, Allou +3 more
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Parallel Implementation of Wavelet-based Image Denoising on Programmable PC-grade Graphics Hardware [PDF]
, 2010 The Discrete Wavelet Transform (DWT) has been extensively used for image compression and denoising in the areas of image processing and computer vision. However, the intensive computation of DWT due to its multilevel data decomposition and reconstruction
Xu, Zhijie, Su, Yang
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Accurate, fast and stable denoising source separation algorithms [PDF]
, 2004 Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here.
Harri Valpola +3 more
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Denoising of MEMS Vector Hydrophone Signal Based on Empirical Model Wavelet Method
Proceedings, 2019 Underwater acoustic technology is a major method in current ocean research and exploration, which support the detection of seabed environment and marine life.
Huichao Yan, Linmei Zhang
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Signal denoising techniques for partial discharge measurements [PDF]
, 2005 One of the major challenges of on-site partial discharge (PD) measurements is the recovery of PD signals from a noisy environment. The different sources of noise include thermal or resistor noise added by the measuring circuit, and high-frequency ...
Sriram, S. +7 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source