Results 21 to 30 of about 590,374 (288)
Dynamic decomposition of spatiotemporal neural signals [PDF]
PLOS Computational Biology, 2017 Neural signals are characterized by rich temporal and spatiotemporal dynamics that reflect the organization of cortical networks. Theoretical research has shown how neural networks can operate at different dynamic ranges that correspond to specific types of information processing.
Ambrogioni, L. +4 more
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Applied Sciences, 2022 Early detection of the dysfunction of the cardiac autonomic regulation (CAR) may help in reducing cannabis-related cardiovascular morbidities. The current study examined the occurrence of changes in the CAR activity that is associated with the ...
Suraj Kumar Nayak +3 more
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Singular value decomposition applied to compact binary coalescence gravitational-wave signals [PDF]
, 2010 We investigate the application of the singular value decomposition to compact-binary, gravitational-wave data-analysis. We find that the truncated singular value decomposition reduces the number of filters required to analyze a given region of parameter ...
Adrian Chapman +7 more
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Ensemble patch transformation: a flexible framework for decomposition and filtering of signal
EURASIP Journal on Advances in Signal Processing, 2020 This paper considers the problem of signal decomposition and filtering by extending its scope to various signals that cannot be effectively dealt with existing methods.
Donghoh Kim, Guebin Choi, Hee-Seok Oh
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Energies, 2023 Photovoltaic (PV) power shows different fluctuation characteristics under different weather types as well as strong randomness and uncertainty in changeable weather such as sunny to cloudy, cloudy to rain, and so on, resulting in low forecasting accuracy.
Jiaan Zhang +3 more
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Multiarray Signal Processing: Tensor decomposition meets compressed sensing [PDF]
, 2009 We discuss how recently discovered techniques and tools from compressed sensing can be used in tensor decompositions, with a view towards modeling signals from multiple arrays of multiple sensors.
Comon, Pierre, Lim, Lek-Heng
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Mathematics, 2022 Interval quantification for multibody systems can provide an accurate dynamic prediction and a robust reliability design. In order to achieve a robust numerical model, multiple interval uncertain parameters should be considered in the uncertainty ...
Xin Jiang, Zhengfeng Bai
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Central Limit Theorems for Wavelet Packet Decompositions of Stationary Random Processes [PDF]
, 2009 This paper provides central limit theorems for the wavelet packet decomposition of stationary band-limited random processes. The asymptotic analysis is performed for the sequences of the wavelet packet coefficients returned at the nodes of any given path
Atto, Abdourrahmane, Pastor, Dominique
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Nonorthogonal signal decomposition. [PDF]
The Journal of the Acoustical Society of America, 1992 To gain physical interpretations and insights from observed phenomena, it is often desirable to decompose a given function, i.e., the observed signal, into a set of nonorthogonal functions. This paper describes a signal processing algorithm based on the minimization of the mean-square error formulation of the decomposition analysis.
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Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD
Shock and Vibration, 2016 An adaptive stochastic resonance and analytical mode decomposition-ensemble empirical mode decomposition (AMD-EEMD) method is proposed for fault diagnosis of rotating machinery in this paper.
Peiming Shi, Cuijiao Su, Dongying Han
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