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SGD Frequency-Domain Space-Frequency Semiblind Multiuser Receiver with an Adaptive Optimal Mixing Parameter [PDF]
Radioengineering, 2013 A novel stochastic gradient descent frequency-domain (FD) space-frequency (SF) semiblind multiuser receiver with an adaptive optimal mixing parameter is proposed to improve performance of FD semiblind multiuser receivers with a fixed mixing parameters ...
S. Phrompichai
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Speech emotion recognition based on improved masking EMD and convolutional recurrent neural network
Frontiers in Psychology, 2023 Speech emotion recognition (SER) is the key to human-computer emotion interaction. However, the nonlinear characteristics of speech emotion are variable, complex, and subtly changing.
Congshan Sun, Haifeng Li, Lin Ma
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Variational Mode Decomposition for Raman Spectral Denoising
Molecules, 2023 As a fast and non-destructive spectroscopic analysis technique, Raman spectroscopy has been widely applied in chemistry. However, noise is usually unavoidable in Raman spectra. Hence, denoising is an important step before Raman spectral analysis. A novel
Xihui Bian +4 more
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Machines, 2021 Four noise-assisted empirical mode decomposition (EMD) algorithms, i.e., ensemble EMD (EEMD), complementary ensemble EMD (CEEMD), complete ensemble EMD with adaptive noise (CEEMDAN), and improved complete ensemble EMD with adaptive noise (ICEEMDAN), are ...
Yanqing Zhao +3 more
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Analytic Expressions for Orbital Angular Momentum Modal Crosstalk in a Slightly Elliptical Fiber
IEEE Photonics Journal, 2020 Assuming weakly guiding approximation, we examine orbital angular momentum (OAM) mode mixing on account of ellipticity in a fiber and derive a complete set of analytic expressions for spatial crosstalk, using scalar perturbation theory that incorporates ...
Ramesh Bhandari
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Bearing Fault Diagnosis Method Based on Improved Singular Value Decomposition Package
Sensors, 2023 The singular value decomposition package (SVDP) is often used for signal decomposition and feature extraction. At present, the general SVDP has insufficient feature extraction ability due to the two-row structure of the Hankel matrix, which leads to mode
Huibin Zhu +4 more
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IEEE Access, 2020 Mechanical signals are not only disturbed by Gaussian noise, but also by non-Gaussian noise. These Gaussian noise and non-Gaussian noise have gravely impeded detecting of rolling bearing defects using traditional methods.
Yonghua Jiang +5 more
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Frontiers in Chemistry, 2020 Over the last decade, molecules capable of emitting circularly polarized light have attracted growing attention for potential technological and biological applications.
Qin Yang, Marco Fusè, Julien Bloino
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Large Eddy Simulation and Dynamic Mode Decomposition of Turbulent Mixing Layers
Applied Sciences, 2021 Turbulent mixing layers are canonical flow in nature and engineering, and deserve comprehensive studies under various conditions using different methods. In this paper, turbulent mixing layers are investigated using large eddy simulation and dynamic mode
Yuwei Cheng, Qian Chen
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EEMD Independent Extraction for Mixing Features of Rotating Machinery Reconstructed in Phase Space
Sensors, 2015 Empirical Mode Decomposition (EMD), due to its adaptive decomposition property for the non-linear and non-stationary signals, has been widely used in vibration analyses for rotating machinery.
Zaichao Ma, Guangrui Wen, Cheng Jiang
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