Abstract
In this study, speckle-visibility spectroscopy is used to measure the time-resolved particle dynamics in the passive layer of a continuous granular flow in a half-full rotating drum. A signal diagram of the mean fluctuation in the speed of the particles, <δv2>, which is equal to the collision velocity with noise, is obtained. We discuss the traditional threshold method of signal processing for the <δv2> extraction and how statistics depend on several subjective factors that are chosen in the analysis process. We propose a new threshold method using wavelet analysis for extracting valid signals from noise. Experiments show that the useful signal <δv2> can be clearly distinguished from the noise using wavelet analysis, and compared with the traditional method, the statistical distribution map of the <δv2> is closer to the actual movement phenomenon.
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