郭敏, 尚志远, 白雅. 储粮害虫微弱声信号特征提取与分析[J]. 云南大学学报(自然科学版), 2006, 28(6): 497-503.
引用本文: 郭敏, 尚志远, 白雅. 储粮害虫微弱声信号特征提取与分析[J]. 云南大学学报(自然科学版), 2006, 28(6): 497-503.
shu
GUO Min, SHANG Zhi-yuan, BAI Ya. Collecting and analyzing the sound signal character of pest in stored grain[J]. Journal of Yunnan University: Natural Sciences Edition, 2006, 28(6): 497-503.
Citation: GUO Min, SHANG Zhi-yuan, BAI Ya. Collecting and analyzing the sound signal character of pest in stored grain[J]. Journal of Yunnan University: Natural Sciences Edition, 2006, 28(6): 497-503.
shu

储粮害虫微弱声信号特征提取与分析

Collecting and analyzing the sound signal character of pest in stored grain

    摘要
  • 摘要: 提取了5种主要储粮害虫微弱爬行声信息,采用现代数字信号处理新方法,建立特征模式识别.通过对声信号时域和频域2方面的分析,发现了不同储粮害虫声信号间差异,时域信号的差异表现为声脉冲的不同,频域信号的差异表现为功率谱幅值和主要频域范围的不同,信号间差异与害虫爬行速度快慢有关,并与害虫体重有关,体重大的害虫具有较大的振动能量.5种害虫时域及频域信号的差异是害虫种类差异的表现,这一差异揭示出不同种类害虫声信号的本质特征.本研究内容为有针对性地采取灭虫措施提供了依据,有利于及早确定防治对策,降低储粮损失.

     

    Abstract: The creeping sound signals of five species of pests are analyzed and identified.For different species of pests the acoustic characteristics are different in time domain and frequency domain.In time domain it is different in the number of sound pulse.In frequency domain it is different in the amplitude and main peak frequency range.These differences may be caused by creeping speed and the weight of different species of pests.These researches provide us a basis for forecasting the pests in grain in earlier stage,accurately utilizing pesticides,improving the efficiency of prevention and reducing the loss of stored grain.

     

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