Application of the continuous wavelet transform to the fluctuations and electric field analysis in the H-1 heliac
نویسندگان
چکیده
We apply the continuous wavelet transform ~CWT! and a CWT spectral technique to the analysis of the time-resolved fluctuation-driven particle flux in the H-1 heliac. The results confirm that in some cases the outward radial flux reverses its direction. In addition, time-resolved frequency spectra of fluctuation signals obtained by CWT show that the dominant frequency component as a function of time closely follows changes in the radial electric field. This suggests that the VE3B drift velocity dominates the poloidal phase velocity of the fluctuations in the laboratory frame, in which case the time-resolved frequency can be used to characterize the radial electric field. © 2001 American Institute of Physics. @DOI: 10.1063/1.1310583#
منابع مشابه
A combined Wavelet- Artificial Neural Network model and its application to the prediction of groundwater level fluctuations
Accurate groundwater level modeling and forecasting contribute to civil projects, land use, citys planning and water resources management. Combined Wavelet-Artificial Neural Network (WANN) model has been widely used in recent years to forecast hydrological and hydrogeological phenomena. This study investigates the sensitivity of the pre-processing to the wavelet type and decomposition level in ...
متن کاملWavelet Transformation
Wavelet transformation is one of the most practical mathematical transformations in the field of image processing, especially image and signal processing. Depending on the nature of the multiresolution analysis, Wavelet transformation become more accessible and powerful tools. In this paper, we refer to the mathematical foundations of this transformation. Introduction: The...
متن کاملThe Effect of Rainfall Parameters on Runoff Using Wavelet Coherence Measure
In this research wavelet coherence measure is implemented for evaluating the relations and effect of rainfall parameters over many years on runoff fluctuations that is for testing proposed linkages between two time series. In this way, monthly Hydro climatological as 3 rainfall stations, one runoff in the outlet of Ardabil plain were used. The results illustrate that 8-12 and 8-16 month modes o...
متن کاملDamage identification of structures using experimental modal analysis and continuous wavelet transform
Abstract: Modal analysis is a powerful technique for understanding the behavior and performance of structures. Modal analysis can be conducted via artificial excitation, e.g. shaker or instrument hammer excitation. Input force and output responses are measured. That is normally referred to as experimental modal analysis (EMA). EMA consists of three steps: data acquisition, system identificatio...
متن کاملStudy of the impact of some factors determining the non-performing loans of the banking network from the public sector in sanction conditions: Application of Wavelet Transform and Markov Switching Models
The present study examines the determinants of non-performing loans from the public sector with emphasis on fluctuations in asset markets in the period 1397: 4-1384: 1. For this purpose, in order to extract the exchange rate and stock index fluctuations, the Daubechies discrete wavelet transform model has been used. Finally, the Markov switching model has been used to investigate the effect of ...
متن کامل