图像扭曲
动态时间归整
计算机科学
声纳
噪音(视频)
聚类分析
时频分析
预处理器
过程(计算)
快速傅里叶变换
傅里叶变换
集合(抽象数据类型)
信号(编程语言)
对比度(视觉)
算法
语音识别
人工智能
计算机视觉
数学
滤波器(信号处理)
数学分析
图像(数学)
操作系统
程序设计语言
作者
Yu Chen,Longhao Qiu,Yingsong Li,Guolong Liang,Yongshuai Gao,Zhen‐Yu Du
摘要
The radiated noise from ships is notably characterized by their tonal properties, making tone detection essential for passive sonar systems. The fast Fourier transform plays a crucial role in this process, but Doppler shifts can significantly diminish the integration gain. To address this issue, time warping is applied to modify the time axis of the signal, stabilizing the tonal frequency to a constant value. Traditionally, the warping operator, which determines how to modify the time axis, is designed by estimating motion parameters. In contrast, this study presents a method that eliminates the estimation step by using a set of pre-designed warping operators. The designing process involves preprocessing and clustering the delay vectors corresponding to various motion scenarios. The enhanced gain of the proposed algorithm, in comparison to the existing methods, has been validated through both simulation and experimental data.
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