Yang Su, Li Zhishun, Wang Xinlong
State Key Laboratory of Modern Acoustics & Institute of Acoustics, Nanjing University, People's Republic of China.
J Acoust Soc Am. 2002 Jul;112(1):172-7. doi: 10.1121/1.1487840.
Due to the complexity of its radiated sound, ship recognition is difficult. Fractal approaches are proposed in this study, including fractal Brownian motion based analysis, fractal dimension analysis, and wavelet analysis, to augment existing feature extraction methods that are based on spectrum analysis. Experimental results show that fractal approaches are effective. When used to augment two traditional features, line and average spectra, fractal approaches led to better classification results. This implies that fractal approaches can capture some information not detected by traditional approaches alone.
由于船舶辐射声音的复杂性,船舶识别具有一定难度。本研究提出了分形方法,包括基于分形布朗运动的分析、分形维数分析和小波分析,以增强现有的基于频谱分析的特征提取方法。实验结果表明,分形方法是有效的。当用于增强线谱和平均谱这两个传统特征时,分形方法带来了更好的分类结果。这意味着分形方法能够捕捉到一些传统方法单独无法检测到的信息。