Author(s): Mi Tian, Sheng Fa Yang, Qi Guo
Linked Author(s): Mi Tian
Keywords: Gravel transport, signal recognition, characteristic parameters, audio signal processing
Abstract: In the background of the obstruction problem caused by gravel transport in fluctuating backwater area of the Three Gorges Reservoir, the field data is collected by using underwater high-fidelity audio recorder. The data collected are the peak frequency, pitch frequency and energy distribution characteristics after wavelet transforms the initial data which are extracted as characteristic parameters for gravel movements. The recognition result of gravel transport from the synthesis audio signals with the three parameters is in good agreement with the artificial judgment. It indicates that this method has the accuracy and feasibility for recognizing gravel transport
Year: 2017