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Vasundhara Shukla and Preety D. Swami
This paper introduces a novel speech enhancement approach called dominant columns group orthogonalization of the sensing matrix (DCGOSM) in compressive sensing (CS). DCGOSM optimizes the sensing matrix using particle swarm optimization (PSO), ensuring se...
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Yanjie Zhao, Jin Cheng, Shaohua Wang, Lei Qin and Xueyan Zhang
Urban construction has accelerated the deterioration of the urban sound environment, which has constrained urban development and harmed people?s health. This study aims to explore the spatiotemporal patterns of environmental sound and determine the influ...
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Sara Zollini, Donatella Dominici, Maria Alicandro, María Cuevas-González, Eduard Angelats, Francesca Ribas and Gonzalo Simarro
Coastal environments are dynamic ecosystems, constantly subject to erosion/accretion processes. Erosional trends have unfortunately been intensifying for decades due to anthropic factors and an accelerated sea level rise might exacerbate the problem. It ...
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Michael Leupolz and Frank Gauterin
Especially for electric vehicles, the tire impact on car noise is becoming more and more important. The requirement of meeting certification criteria makes estimating the sound pressure level essential for vehicle manufacturers. Most recent research on t...
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Hai Huyen Dam and Sven Nordholm
This paper proposes a new adaptive algorithm for the second-order blind signal separation (BSS) problem with convolutive mixtures by utilising a combination of an accelerated gradient and a conjugate gradient method. For each iteration of the adaptive al...
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Xidi Zhang, Zhihua Liu, Liushuai Cao and Decheng Wan
The occurrence of a tip leakage vortex (TLV) is a special phenomenon of ducted propellers, which has a significant influence on the propeller?s hydrodynamic performance and efficiency. The inception, evolution, and instability of the TLV under different ...
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Natasha Bahrani, Juliette Blanc, Pierre Hornych and Fabien Menant
Pavement instrumentation with embeddable in-situ sensors has been a feasible approach to determine pavement deteriorations. Determining pavement deflections during the passage of the load is a promising strategy to determine the overall performance of th...
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Hongqing Liu, Liming Hou, Zhen Luo, Yi Zhou, Xiaorong Jing and Trieu-Kien Truong
In this paper, an image recovery problem under the case of salt-and-pepper noise and data missing that degrade image quality is addressed if they are not effectively handled, where the salt-and-pepper noise as the impulsive noise is remodeled as a sparse...
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Jidong Wang, Zhilin Xu and Yanbo Che
In order to effectively identify complex power quality disturbances, a power quality disturbance classification method based on empirical wavelet transform and a multi-layer perceptron extreme learning machine (ELM) is proposed. The model uses the discre...
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Lingzhi Wang, Yingpin Chen, Fan Lin, Yuqun Chen, Fei Yu and Zongfu Cai
Models based on total variation (TV) regularization are proven to be effective in removing random noise. However, the serious staircase effect also exists in the denoised images. In this study, two-dimensional total variation with overlapping group spars...
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