Results 101 to 110 of about 2,757,626 (360)
Proceedings of the Combustion Institute, 2015 AbstractCombustion noise is becoming increasingly important as a major noise source in aeroengines and ground based gas turbines. This is partially because advances in design have reduced the other noise sources, and partially because next generation combustion modes burn more unsteadily, resulting in increased external noise from the combustion.
Dowling, Ann P., Mahmoudi, Yasser
openaire +3 more sources
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Materials & Design, 2022 The water-lubricated bearing will be in a state of poor lubrication when marine stern shafts operate under low speed and heavy load conditions, which could cause severe wear and vibration, endangering the stealth performance of underwater vehicles.
Yinsong Liu +4 more
doaj
Genre as noise: noise in genre [PDF]
International Journal of Document Analysis and Recognition (IJDAR), 2007 Given a specific information need, documents of the wrong genre can be considered as noise. From this perspective, genre classification helps to separate relevant documents from noise. Orthographic errors represent a second, finer notion of noise. Since specific genres often include documents with many errors, an interesting question is whether this ...
Christoph Ringlstetter +2 more
openaire +2 more sources
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Array enhanced stochastic resonance and spatially correlated noises [PDF]
arXiv, 2003 We discuss the role of spatial correlations of the noise in the array enhanced stochastic resonance. We show numerically that the noises with negative correlations between different sites lead to significantly larger values of the signal-to-noise ratio than the uncorrelated noises or noises with positive correlations. If the noise is global, the system
arxiv
Investigation and Evaluation of Adaptive Algorithms for Multichannel Active Noise Control System [PDF]
arXiv, 2023 This dissertation focuses on the investigation and evaluation of adptive algorithms for multichannel active noise control system. The aim of the research is to investigate the effectiveness of the FxLMS algorithm and the pre-trained control filter in attenuating various types of noise.
arxiv
Increase in signal-to-noise ratio of > 10,000 times in liquid-state NMR
Proceedings of the National Academy of Sciences of the United States of America, 2003 A method for obtaining strongly polarized nuclear spins in solution has been developed. The method uses low temperature, high magnetic field, and dynamic nuclear polarization (DNP) to strongly polarize nuclear spins in the solid state.
J. Ardenkjær-Larsen +8 more
semanticscholar +1 more source
Scientific ReportsTo suppress the significant vibration line spectra of piping systems under multi-frequency harmonic excitations, a novel dynamic vibration absorber (NDVA) is designed.
Lihang Yin +3 more
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International Journal of Advanced Robotic Systems, 2019 Machinery mounting system is one of the most significant vibration and noise attenuation technology for marine mechanical equipment. A novel intelligent mounting system having distributed intermediate mass light in weight, intelligent in function and ...
Yuanran Qiu, Wei Xu, Zhengmin Li
doaj +1 more source