Results 251 to 260 of about 1,841,199 (345)

Underwater acoustic vector DOA estimation in hybrid noise environments based on sparsely-gated mixture-of-experts mechanism. [PDF]

Sci Rep
Xu W, Yi S, Gu H, Wang C, Zhang Z.
europepmc   +1 more source

Speech recognition in impulsive noise

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper presents experimental results on the use of noise compensation schemes with hidden Markov model (HMM) speech recognition systems operating in the presence of impulsive noise. A measure of signal to impulsive noise ratio is introduced, and the effects of varying the percentage of impulsive noise contamination, and the power of impulsive noise,
Saeed Vaseghi, Ben P. Milner
openaire   +2 more sources

Robust Adaptation in Impulsive Noise

IEEE Transactions on Signal Processing, 2016
The popular least-mean-squares (LMS) algorithm for adaptive filtering is nonrobust against impulsive noise in the measurements. The presence of this type of noise degrades the transient and steady-state performance of the algorithm. Since the distribution of the impulsive noise is generally unknown, a robust semi-parametric approach to adaptive ...
Sara Al-Sayed, Abdelhak M. Zoubir, Ali H. Sayed   +2 more
openaire   +2 more sources

Fast impulsive noise removal

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 ...
Windyga, Piotr S.
core   +5 more sources

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Automatic Modulation Classification in Impulsive Noise: Hyperbolic-Tangent Cyclic Spectrum and Multibranch Attention Shuffle Network

IEEE Transactions on Instrumentation and Measurement, 2023
Automatic modulation classification plays an essential role in cognitive communication systems. Traditional automatic modulation classification approaches are primarily developed under Gaussian noise assumptions.
Jitong Ma, Mutian Hu, Tianyu Wang, Zhengyan Yang, Liangtian Wan, T. Qiu   +5 more
semanticscholar   +1 more source

A Message Passing Based Iterative Algorithm for Robust TOA Positioning in Impulsive Noise

IEEE Transactions on Vehicular Technology, 2023
In this contribution, we explore further possibilities for statistical robustification of the traditional $\ell _{2}$-space based time-of-arrival location estimator under impulsive noise conditions. We replace the non-robust $\ell _{2}$ loss by the $\ell
Wenxin Xiong, C. Schindelhauer, H. So, S. J. Rupitsch   +3 more
semanticscholar   +1 more source

Variational Bayesian Inference for DOA Estimation Under Impulsive Noise and Nonuniform Noise

IEEE Transactions on Aerospace and Electronic Systems, 2023
Existing direction-of-arrival (DOA) estimation approaches are often only considering Gaussian noise or impulsive noise, leading to the performance degradation in the scenario that both noises exist simultaneously.
Kun Guo, Liang Zhang, Yingsong Li, Tian Zhou, Jingwei Yin   +4 more
semanticscholar   +1 more source