This dissertation focuses on extracting features from underwater acoustic signals and classifying them based on chaos & fractal signal processing and wavelet theory.
本文对混沌与分形信号处理技术以及小波分析理论在水声信号的特征提取、分类识别中的应用进行了较深入的研究。
参考来源 - 水下目标识别的相关技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper concentrates on the theoretical and applicable domain of fractal signal processing.
论文研究分形信号处理的理论和应用领域。
We have derived the formulas for wavelet coefficients of the fractal signal and white noise separately on the basis of which the maximum likelihood method is used to estimate the fractal parameter.
分别推导了分形信号和白噪声的小波系数统计量的公式，在此基础上用最大似然法进行参数估计。
At present, such an analysis method has been widely used in signal processing, image processing, quantum field theory, fractal theory and other fields.
目前，这种分析方法已经广泛应用于信号处理、图像处理、量子场论、分形理论等领域。
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