Wavelet analysis of chlorine bubble evolution on electrodes with different surface morphologies

Thick relaxed InGaAs layers grown epitaxially on GaAs are potentially useful substrates for growing high indium percentage strained layers. It is important that these relaxed layers are defect free and have a good surface morphology for the subsequent growth of device structures.3μm relaxed layers of InxGa1-xAs were grown on semi - insulating GaAs substrates by Molecular Beam Epitaxy (MBE), where the indium composition ranged from x=0.1 to 1.0. The interface, bulk and surface of the layers have been examined in planar view and cross-section by Transmission Electron Microscopy (TEM). The surface morphologies have been characterised by Scanning Electron Microscopy (SEM), and the bulk lattice perfection of the layers assessed using Double Crystal X-ray Diffraction (DCXRD).The surface morphology has been found to correlate with the growth conditions, with the type of defects grown-in to the layer (e.g. stacking faults, microtwins), and with the nature and density of dislocations in the interface.

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Electron Optical Study of Surface Morphologies of Crystals

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s1431927600001586 ◽

1980 ◽

Vol 38 ◽

pp. 376-377

Author(s):

Sumio Iijima ◽

Tung Hsu

Keyword(s):

Thin Film ◽

Optical Study ◽

Regular Array ◽

Surface Steps ◽

Diffracted Waves ◽

Image Position ◽

Surface Morphologies

Suppose the thickness of a thin film of a crystal varies periodically like a regular array of surface steps, kinematical intensities of diffracted waves from this crystal are modulated by a shape transform,

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Wavelet analysis of EEG for theta activity monitoring as an alternative to fast fourier transform-based analysis

Electroencephalography and Clinical Neurophysiology ◽

10.1016/s0013-4694(97)88508-6 ◽

1997 ◽

Vol 103 (1) ◽

pp. 116

Author(s):

S Angioni

Keyword(s):

Fourier Transform ◽

Wavelet Analysis ◽

Fast Fourier Transform ◽

Activity Monitoring ◽

Theta Activity

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P366 Atrial depolarization assessed with wavelet analysis in patients with paroxysmal atrial fibrillation

European Heart Journal ◽

10.1016/s0195-668x(03)93804-8 ◽

2003 ◽

Vol 24 (5) ◽

pp. 42

Author(s):

V VASSILIKOS

Keyword(s):

Atrial Fibrillation ◽

Wavelet Analysis ◽

Paroxysmal Atrial Fibrillation

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Classification of Acceleration Waveforms during Walking by Wavelet Transform

Methods of Information in Medicine ◽

10.1055/s-0038-1636855 ◽

1997 ◽

Vol 36 (04/05) ◽

pp. 356-359 ◽

Cited By ~ 27

Author(s):

M. Sekine ◽

M. Ogawa ◽

T. Togawa ◽

Y. Fukui ◽

T. Tamura

Keyword(s):

Wavelet Transform ◽

Wavelet Analysis ◽

Center Of Gravity ◽

Dynamic Responses ◽

Sequential Data ◽

Acceleration Signal ◽

Continuous Dynamic

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.

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Study of Identification Method of Drunk Driving Based on Wavelet Analysis

ICCTP 2011 ◽

10.1061/41186(421)230 ◽

2011 ◽

Author(s):

Xing-jian Zhang ◽

Xiao-hua Zhao ◽

Jian Rong ◽

Shi-li Xu

Keyword(s):

Wavelet Analysis ◽

Drunk Driving ◽

Identification Method

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Efficiency of application of the phase-chronometric method and neurodiagnostics for monitoring the degradation of rolling bearings during operation

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2020-7-43-50 ◽

2020 ◽

pp. 43-50

Author(s):

A.S. Komshin ◽

K.G. Potapov ◽

V.I. Pronyakin ◽

A.B. Syritskii

Keyword(s):

Life Cycle ◽

Wavelet Analysis ◽

Metrological Support ◽

Rolling Bearing ◽

Technical Condition ◽

Measurement Information ◽

Rolling Bearings ◽

Vibration Diagnostics ◽

Bearing Life ◽

Alternative Approach

The paper presents an alternative approach to metrological support and assessment of the technical condition of rolling bearings in operation. The analysis of existing approaches, including methods of vibration diagnostics, envelope analysis, wavelet analysis, etc. Considers the possibility of applying a phase-chronometric method for support on the basis of neurodiagnostics bearing life cycle on the basis of the unified format of measurement information. The possibility of diagnosing a rolling bearing when analyzing measurement information from the shaft and separator was evaluated.

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