Results 21 to 30 of about 115,954 (269)
CNN AND LSTM FOR THE CLASSIFICATION OF PARKINSON'S DISEASE BASED ON THE GTCC AND MFCC
Applied Computer Science, 2023 Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations; it represents a rapidly growing neurodegenerative disorder.
Nouhaila BOUALOULOU +2 more
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Speech Enhancement via EMD [PDF]
EURASIP Journal on Advances in Signal Processing, 2008 In this study, two new approaches for speech signal noise reduction based on the empirical mode decomposition (EMD) recently introduced by Huang et al. (1998) are proposed. Based on the EMD, both reduction schemes are fully data-driven approaches. Noise signal is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs ...
Kais Khaldi +3 more
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Hilbert spectrum based features for speech/music classification [PDF]
Serbian Journal of Electrical Engineering, 2022 Automatic Speech/Music classification uses different signal processing techniques to categorize multimedia content into different classes. The proposed work explores Hilbert Spectrum (HS) obtained from different AM-FM components of an audio ...
Kumar Arvind +2 more
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Audio Watermarking Via EMD [PDF]
IEEE Transactions on Audio, Speech, and Language Processing, 2013 In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs).
Khaldi, Kais, Boudraa, Abdel-Ouahab
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Noise Reduction of Welding Crack AE Signal Based on EMD and Wavelet Packet
Sensors, 2020 The acoustic emission (AE) signal collected by a sensor in the welding process has an overlapping frequency band and weak characteristics under a complex noise background. It is difficult for the wavelet noise reduction method, with single basis function,
Kuanfang He +4 more
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3A-EMD: A generalized approach for monovariate and multivariate EMD [PDF]
10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), 2010 EMD is an emerging topic in signal processing research and is applied in various practical fields. Its recent extension to multivariate signals, motivated by the need to jointly analyze multi-channel signals, is an active topic of research. However, all the existing extensions specifically hold either mono-, bi- or tri-variate signals or require ...
Fleureau, Julien +4 more
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The Similarity Comparison Algorithm of Free-Form Surfaces with Single Curvature Feature [PDF]
Xibei Gongye Daxue Xuebao, 2018 This paper studies the shape similarity evaluation of free-form surfaces expressed by B-spline with single curvature feature and proposes a similarity evaluation algorithm based on curvature feature.
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ASN Neuro, 2014 In inflammatory demyelinating diseases such as multiple sclerosis (MS), myelin degradation results in loss of axonal function and eventual axonal degeneration. Differentiation of resident oligodendrocyte precursor cells (OPCs) leading to remyelination of
Carlos E. Pedraza +6 more
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Journal of Analytical Methods in Chemistry, 2014 Biological samples present a range of complexities from homogeneous purified protein to multicomponent mixtures. Accurate qualification of such samples is paramount to downstream applications.
Ivona Strug +9 more
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Temporal and spatial adaptation of transient responses to local features
Frontiers in Neural Circuits, 2012 Interpreting visual motion within the natural environment is a challenging task, particularly considering that natural scenes vary enormously in brightness, contrast and spatial structure.
David C O'Carroll +3 more
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