Results 11 to 20 of about 20,110 (263)
Recognition of Noisy Radar Emitter Signals Using a One-Dimensional Deep Residual Shrinkage Network
Sensors, 2021 Signal features can be obscured in noisy environments, resulting in low accuracy of radar emitter signal recognition based on traditional methods. To improve the ability of learning features from noisy signals, a new radar emitter signal recognition ...
Shengli Zhang +3 more
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Hittite Journal of Science and Engineering, 2019 The expression of genes that are functionally related is considered to change together in response to deterioration of internal or external order. The system-level analysis of these changes has become widespread in recent years.
Muhammed Erkan Karabekmez
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IEEE Access, 2018 With the challenging noisy measurements, the maneuvering safety and comfort level of hovercraft navigation can be significantly increased by accurate motion parameter estimation. Because traditional hard/soft thresholding schemes have discontinuities and
Yuanhui Wang +3 more
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Applied Sciences, 2020 Microseismic signal denoising is of great significance for P wave, S wave first arrival picking, source localization, and focal mechanism inversion. Therefore, an Empirical Mode Decomposition (EMD), Compressed Sensing (CS), and Soft-thresholding (ST ...
Xiang Li +4 more
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Perbandingan Mother Wavelet dalam Proses Denoising pada Suara
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2014 Abstrak Transformasi Wavelet telah digunakan dalam proses denoising pada suara dengan tujuan untuk meningkatkan kualitas dari rekaman suara yang tercampur dengan derau.
Rahmat Ramadhan, Agfianto Eko Putra
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Rolling Bearing Fault Diagnosis Using Improved Deep Residual Shrinkage Networks
Shock and Vibration, 2021 To improve feature learning ability and accurately diagnose the faults of rolling bearings under a strong background noise environment, we present a new shrinkage function named leaky thresholding to replace the soft thresholding in the deep residual ...
Zhijin Zhang, He Li, Lei Chen, Ping Han
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Iterative Deblending of off-the-Grid Simultaneous Source Data
IEEE Access, 2021 Simultaneous source acquisition can enhance the seismic data quality or improve the field acquisition efficiency. However, one of the disadvantages is that the simultaneous source data are often obtained on a non-uniform sampled grid in realistic ...
Hua Zhang +3 more
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Image noise reduction based on applying adaptive thresholding onto PDEs methods
The Journal of Engineering, 2017 In this study the authors present a novel image denoising method based on applying adaptive thresholding on partial differential (PDEs) methods. In the proposed method the authors utilise the adaptive thresholding to blend the total variation filter with
Ali Abdullah Yahya +4 more
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Sparse Reconstruction Using Hyperbolic Tangent as Smooth l1-Norm Approximation
Computation, 2023 In the Compressed Sensing (CS) framework, the underdetermined system of linear equation (USLE) can have infinitely many possible solutions. However, we intend to find the sparsest possible solution, which is l0-norm minimization.
Hassaan Haider +3 more
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PFYOLOv4: An Improved Small Object Pedestrian Detection Algorithm
IEEE Access, 2023 With the development of deep convolutional neural networks, the effect of pedestrian detection has been rapidly improved. However, there are still many problems in small target pedestrian detection, for example noise (such as light) interference, target ...
Kaihui Li +3 more
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