Time-frequency Features Extraction from Acoustic Response Waveform of Marine Sediment and Its Intelligent Classification

摘要：

Applied modern signal analysis method, four characteristic parameters have been extracted from acoustic response waveform of marine sediment: sound velocity Cp, index of amplitude ka, waveform relation dimension fraction index D and frequency moment of acoustic spectrum Kf. Build neural network model, with these four characteristic parameters as input vector and structure type of marine sediment as output vector. Examples prove that the neural network model built in this way has strong classification and capability.

关键词： marine sediments acoustic parameter probabilistic neural networks intelligent classification

作者: Zhonghui Luo Bo Lu

作者单位: School of Mechatronics Engineering.Guangdong Polytechnic Normal University, Guangzhou 510665,China Key Laboratory of Marginal Sea Geology of Chinese Academy of Sciences, South China Sea Institute of

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 257-261

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）