Feature extraction of underwater echoes using wavelet and fractal theories
利用小波和分形理论进行水下回波的特征提取

Firstly, the energy distribution in different wavelet scale space and the fractal dimension of underwater sonar echoes are discussed. Then, these feature vectors are utilized to classify the real echoes, and weight these features according to their own degree of dispersion. Finally, a minimum distance classifier is used in the classification procedure, and experimental results demonstrate the efficiency of the method.