Results 41 to 50 of about 22,168,469 (247)
Jixie chuandong, 2011 The wavelet packet transform is a new multi-scale analysis method developed in the past decade.It overcomes the shortcomings of poor resolution in high-frequency part inherent in wavelet analysis.Vibration fault feature of gear is analyzed.By using the ...
王江萍, 孙文莉
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Importin 7 mediates the nuclear import of HIV‐1 integrase via a specific interacting interface
FEBS Open Bio, EarlyView.HIV‐1 integrase enables viral DNA integration into the host genome. By binding to the core domain of the host protein Importin 7 via its C‐terminal domain, the integrase is transported across the nuclear membrane into the nucleus, where integration of the viral genome into host DNA takes place. This translocation is a critical step for subsequent viral
Juana Bana +5 more
wiley +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Optimal wavelet basis for wavelet packets based meningioma subtype classification [PDF]
, 2008 Wavelets based analysis has been used frequently in literature for texture analysis and features extraction. Due to the availability of many wavelet filters, the issue of the selection of the optimal filter for a certain problem has always been an ...
Qureshi, Hammad A. +2 more
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Application of Wavelet Packet Energy Spectrum to Extract the Feature of the Pulse Signal
Journal of Measurement Science and Instrumentation, 2010 The wavelet packet is presented as a new kind of multi-scale analysis technique followed by Wavelet analysis.The fundamental and realization arithmetic of the wavelet packet analysis method are described in this paper.A new application approach of the ...
Dian-guo CAO +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Wavelet Analysis for the Extraction of Morphological Features for Orthopaedic Bearing Surfaces [PDF]
, 2011 In this chapter three generations of biorthogonal wavelet transforms, for the extraction of morphological structures from micro/nano scalar surfaces in the field of bioengineering, are introduced.
Jiang, X. +8 more
core +3 more sources
WAVELET IDENTIFICATION OF 1/fPROCESS FOR THE FRACTAL DIMENSION OF MACHINED SURFACE TOPOGRAPHY
Jixie qiangdu, 2019 Combined with multi-scale analysis ability of wavelet, the wavelet identification of 1/f process is proposed for the characterization of machined surface topography, based on the fractal surface profile obtained by MB function, the fractal dimensions of ...
WEN ShuHua +4 more
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Neurovascular Contacts in the Pathophysiology of Neuralgic Amyotrophy: An Observational Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neuralgic amyotrophy (NA) is a prevalent, monophasic, multifocal immune‐mediated neuropathy. A distinctive characteristic of the disease is the occurrence of nerve or fascicle constrictions and torsions (NA‐associated focal nerve lesions, NAFL). The pathophysiology underlying this phenomenon remains to be fully elucidated.
Johannes Fabian Holle +4 more
wiley +1 more source
Bayesian modeling and significant features exploration in wavelet power spectra [PDF]
Nonlinear Processes in Geophysics, 2007 This study proposes and justifies a Bayesian approach to modeling wavelet coefficients and finding statistically significant features in wavelet power spectra.
D. V. Divine, F. Godtliebsen
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