宽吻海豚Click信号的时频滤波检测方法

发布时间：2018-02-01 16:43

本文关键词： 宽吻海豚 Click 信号检测 Gabor 自适应阈值连通域声信号背景噪声测试信号像素值 　出处：《声学学报》2017年04期 　论文类型：期刊论文

【摘要】：针对宽吻海豚Click信号检测提出了一种在信号时频图中基于Gabor滤波器的检测方法。该方法首先对声信号进行分段处理,计算每一段信号的时频图;然后设计Gabor滤波器,提取时频图中垂直方向的线条;对Gabor滤波处理后的时频图进行自适应阈值处理,提取时频图中能量较强的区域;最后通过连通域分析确定Click信号的位置.仿真合成不同信噪比的测试信号,本文算法在Click信号和背景噪声平均功率比为15 dB的情况下,Click信号的找全率达到了99%,错误率为0%;对实际采集的声信号进行Click信号检测,找全率为100%。本文方法预期为海豚观测和海豚生物学行为的研究提供一定的技术支持。
[Abstract]:In this paper, a detection method based on Gabor filter in the signal time-frequency diagram is proposed for the detection of the Click signal of the dolphin. Firstly, the acoustic signal is segmented. Calculate the time-frequency diagram of each signal; Then the Gabor filter is designed to extract the vertical lines in the time-frequency image. The time-frequency image processed by Gabor filter is processed by adaptive threshold processing, and the region with strong energy is extracted from the time-frequency image. Finally, the location of Click signal is determined by the connected domain analysis. The test signal with different SNR is synthesized by simulation. The algorithm is based on 15 dB average power ratio of Click signal to background noise. The total searching rate of Click signal is 99%, and the error rate is 0%. The detection rate of Click signal is 1000.This method is expected to provide some technical support for dolphin observation and the study of dolphin biological behavior.
【作者单位】：厦门大学水声通信与海洋信息技术教育部重点实验室;厦门大学海洋与地球学院;中国海洋局第三海洋研究所;
【分类号】：Q95;TN713
【正文快照】： 印度洋、大西洋、太平洋、黑海、红海、地中海等温ar-i- 带和热带海洋中,且以浅海为主要活动区域W。海豚能够利用自身的声呐系统收发声信号,以达到觅食以宽吻海豚是鲸目海豚科宽吻海豚属的一种,又及与同伴通讯的目的。以海豚的信号功能和参数为依被称为大海豚、尖吻海豚、瓶鼻

【相似文献】