Results 1 to 10 of about 185,275 (165)
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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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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An Investigation Study on Mode Mixing Separation in Empirical Mode Decomposition
IEEE Access, 2019 Mode mixing is a limitation of the empirical mode decomposition (EMD) method appropriate for physiological signal analysis. In 2008, boundary condition map presented by Rilling and Flandrin provided the efficiency of separating the two components of a ...
Han-Ping Huang +5 more
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A method for detection of Mode-Mixing problem [PDF]
Journal of Applied Statistics, 2021 Atacan Erdis, M Akif Bakir
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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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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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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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Sensors, 2020 This paper proposes a framework combining the complementary ensemble empirical mode decomposition with both the independent component analysis and the non-negative matrix factorization for estimating both the heart rate and the respiratory rate from the ...
Ruisheng Lei +3 more
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SPIE Proceedings, 2012 We present a novel setup in which real objects made of different materials can be mixed optically. For the materials we chose mutually very different materials, which we assume to represent canonical modes. The appearance of 3D objects consisting of any material can be described as linear superposition of 3D objects of different canonical materials, as
Sylvia C. Pont +4 more
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