IMFs and RF energy distribution characteristic analysis of blue whale vocalizations

Chai-Sheng Wen, Chin-Feng Lin, Shun-Hsyung Chang
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引用次数: 1

Abstract

This paper presents the intrinsic mode functions (IMFs) and residue function (RF) energy distribution characteristic analysis technology for blue whale vocalizations. Blue whale vocalization were downloaded from the Scripps Whale Acoustics Lab [7] of the University of California San Diego website; blue whale type B-calls with six blue whale vocalization samples were analyzed. Four IMFs and one RF were disassembled from the samples using the empirical mode decomposition (EMD) method. The average energy distribution ratio characteristics of IMFs and RF were presented, and the Hilbert spectrum (HS) characteristics with time-frequency-energy distribution were obtained. The analysis results show that the average energy distribution ratios of the blue whale vocalizations of IMF1, IMF2, IMF3, and IMF4, were 3.58% in the 250-310Hz frequency band during the intervals of 3.5–3.53ms, 2.69% in the 60-100Hz frequency band during the intervals of 2.54–2.57ms, 4.30% in the 40-50Hz frequency band during the intervals of 3.14–3.17ms, and 4.04% in the 20-30Hz frequency band during the intervals of 3.05–3.08ms, respectively. This study helps us understand the Hilbert spectrum (HS) features of blue whale vocalizations.
蓝鲸发声的电磁场和射频能量分布特征分析
提出了蓝鲸发声的本征模态函数(IMFs)和残差函数(RF)能量分布特征分析技术。蓝鲸发声从加州大学圣地亚哥分校网站的斯克里普斯鲸鱼声学实验室[7]下载;用6个蓝鲸发声样本对蓝鲸b型叫声进行了分析。利用经验模态分解(EMD)方法对样品中的4个imf和1个RF进行了分解。给出了IMFs和RF的平均能量分布比特性,得到了时间-频率-能量分布的Hilbert谱(HS)特性。分析结果表明,蓝鲸IMF1、IMF2、IMF3和IMF4在3.5 ~ 3.53ms范围内250 ~ 310hz频段的平均能量分布比为3.58%,在2.54 ~ 2.57ms范围内60 ~ 100hz频段的平均能量分布比为2.69%,在3.14 ~ 3.17ms范围内40 ~ 50hz频段的平均能量分布比为4.30%,在3.05 ~ 3.08ms范围内20 ~ 30hz频段的平均能量分布比为4.04%。这项研究有助于我们了解蓝鲸发声的希尔伯特谱(HS)特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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