Results 241 to 250 of about 1,876,985 (311)
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Signal Processing, 2020
Combining affine projection (AP) with the generalized maximum correntropy (GMC) criterion, we propose a new family of AP-type filtering algorithms, called as APGMC, for system identification under impulsive-noise environments.
Ji Zhao +3 more
semanticscholar +1 more source
Combining affine projection (AP) with the generalized maximum correntropy (GMC) criterion, we propose a new family of AP-type filtering algorithms, called as APGMC, for system identification under impulsive-noise environments.
Ji Zhao +3 more
semanticscholar +1 more source
I. Impulse Noise of Different Durations
Acta Oto-Laryngologica, 1987This paper describes a comparison between auditory threshold elevations and morphological cochlear changes evaluated with scanning electron microscopy in order to identify cochlear defects in guinea pigs exposed to impulse noise of varying durations. There was a significant difference in the auditory threshold shifts between animals exposed for 3 and ...
S, Rydmarker, P, Nilsson, J, Grenner
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ℓ1 − αℓ2 minimization methods for signal and image reconstruction with impulsive noise removal
Inverse Problems, 2020In this paper, we study ℓ1 − αℓ2 (0 < α ⩽ 1) minimization methods for signal and image reconstruction with impulsive noise removal. The data fitting term is based on ℓ1 fidelity between the reconstruction output and the observational data, and the ...
Peng Li, Wengu Chen, Huanmin Ge, M. Ng
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Robust sparse Bayesian learning for DOA estimation in impulsive noise environments
Signal Processing, 2020Conventional direction of arrival (DOA) estimation methods are derived under Gaussian distributional assumptions on the noise and inevitably induce undesirable biases in impulsive noise environments.
Rui Zheng, Xu Xu, Z. Ye, Jisheng Dai
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A Robust Total Least Mean M-Estimate Adaptive Algorithm for Impulsive Noise Suppression
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2020The errors-in-variables (EIV) model is widely used in linear systems where both input and output signals are contaminated with noise. For the parameter estimation in the EIV model, the adaptive filtering algorithm using total least squares (TLS) approach
Lei Li, Haiquan Zhao
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Adaptive impulse noise filtering
IEEE International Conference on Acoustics Speech and Signal Processing, 1993The authors present a preprocessor to mitigate the effects of the impulse noise. In contrast with previous work, the proposed preprocessor requires no information about the correlated background process and can adapt as the background process changes. An adaptive nonlinear filter (preprocessor) introduced mitigates the effects of the impulses when the ...
S.R. Kim, A. Efron
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DCD-Based Recursive Adaptive Algorithms Robust Against Impulsive Noise
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2020The dichotomous coordinate descent (DCD) algorithm has been successfully used for significant reduction in the complexity of recursive least squares (RLS) algorithms.
Yi Yu +5 more
semanticscholar +1 more source
IEEE Transactions on Image Processing, 2001
A generic n-dimensional filter with the primary purpose of eliminating impulsive-like noise is presented. This recursive nonlinear filter is composed of two conditional rules, which are applied independently, in any order, one after the other. It identifies noisy items by inspection of their surrounding neighborhood, and afterwards it replaces their ...
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A generic n-dimensional filter with the primary purpose of eliminating impulsive-like noise is presented. This recursive nonlinear filter is composed of two conditional rules, which are applied independently, in any order, one after the other. It identifies noisy items by inspection of their surrounding neighborhood, and afterwards it replaces their ...
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Adaptive Blind Equalization in Impulsive Noise
2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020This work investigates the problem of blind channel equalization in the presence of burst noise. Modeling impulsive noise distribution as generalized-Gaussian, we derive an appropriate criterion for blind equalization. Our method exploits Wijsman’s theorem and develops a maximal-invariant test of equally-likely pulsed signals against impulsive ...
Abrar, Shafayat +2 more
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The Journal of the Acoustical Society of America, 1970
A commonly accepted criterion for noise control is a family of curves known as the NC or N curves. This criterion was based upon a study by Beranek relating speech interference levels and loudness levels to subjective limits of acceptibility within various environments.
D. L. George, J. A. Eibner
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A commonly accepted criterion for noise control is a family of curves known as the NC or N curves. This criterion was based upon a study by Beranek relating speech interference levels and loudness levels to subjective limits of acceptibility within various environments.
D. L. George, J. A. Eibner
openaire +1 more source