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
论文研究分形信号处理的理论和应用领域。
This paper concentrates on the theoretical and applicable domain of fractal signal processing.
其总的延迟可以由带噪分形信号的互信息曲线在第一区域内达到极小值的时间来确定。
The total delay time could be determined through the time of mutual information curve of the signal with noise getting to the maximum in the first quadrant.
该方法实质是寻找一分数阶因子，使随机分形信号通过分数差分后的输出信号最接近白噪声。
The method is to find out a fractional factor that makes the fractional differenced result closest to the white noise.
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