Results 281 to 290 of about 1,841,199 (345)

Adaptive impulse noise filtering

IEEE International Conference on Acoustics Speech and Signal Processing, 1993
The 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 ...
Seong Rag Kim, Adam J. Efron
openaire   +2 more sources

Adaptive Blind Equalization in Impulsive Noise

2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020
This 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, Zerguine, Azzedine, Abed-Meraim, Karim   +2 more
openaire   +2 more sources

Generalized maximum correntropy algorithm with affine projection for robust filtering under impulsive-noise environments

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, Ji Zhao, Hongbin Zhang, J. A. Zhang   +3 more
semanticscholar   +1 more source

Impulse noise: Critical review

The Journal of the Acoustical Society of America, 1986
A review of the last 10 years of research on impulse noise reveals certain insights and perspectives on the biological and audiological effects of exposures to impulse noise. First, impulse noise may damage the cochlea by direct mechanical processes. Second, after exposure to impulse noise, hearing may recover in an erratic, nonmonotonic pattern. Third,
D, Henderson, R P, Hamernik
openaire   +2 more sources

ℓ1 − αℓ2 minimization methods for signal and image reconstruction with impulsive noise removal

Inverse Problems, 2020
In 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
semanticscholar   +1 more source

Robust sparse Bayesian learning for DOA estimation in impulsive noise environments

Signal Processing, 2020
Conventional 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
semanticscholar   +1 more source

DCD-Based Recursive Adaptive Algorithms Robust Against Impulsive Noise

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2020
The dichotomous coordinate descent (DCD) algorithm has been successfully used for significant reduction in the complexity of recursive least squares (RLS) algorithms.
Yi Yu, Lu Lu, Zongsheng Zheng, Wenyuan Wang, Y. Zakharov, R. D. de Lamare   +5 more
semanticscholar   +1 more source

A Robust Total Least Mean M-Estimate Adaptive Algorithm for Impulsive Noise Suppression

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2020
The 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
semanticscholar   +1 more source

Impulse noise cancellation in multicarrier transmission

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
A parallel between Reed Solomon codes in the complex field and multicarrier transmission using OFDM is first presented. This shows that when the signal is sent over some channel composed of Gaussian plus impulse noise, the impulse noise can be removed by a procedure similar to channel decoding, using information carried by the "syndrome". These results
Fatma Abdelkefi, Pierre Duhamel, Florence Alberge   +2 more
openaire   +1 more source

A TV-log nonconvex approach for image deblurring with impulsive noise

Signal Processing, 2020
In this paper, we study the image deblurring with impulsive noise problem. In order to find a high quality recovery solution, we propose a nonconvex optimization model that combines total variation regularization and nonconvex log penalty for data ...
Benxin Zhang, Guopu Zhu, Zhibin Zhu
semanticscholar   +1 more source