摘要
以无规声源作为粮食中害虫爬行发声的理论模型,分别对20只黑茵虫(Alphitobius diaperinus Panzer)成虫在小麦中的爬行声和20只赤拟谷盗(Tribolium castaneum Herbst)成虫在玉米中的爬行声进行了数据采集.在 Matlab下,对爬行声信号进行了再现.依据噪声特征,综合利用滤波器消噪和小波消噪提取出了明显的声信号.对信号的功率谱特征进行了分析,黑菌虫成虫在小麦中的爬行声频谱和赤拟谷盗成虫在玉米中的爬行声均是离散谱, 前者频率最高1 600 Hz,主频在205 Hz.后者主频在350 Hz,最高频率800 Hz.其结果表明,用爬行声功率谱特征可以区分粮食中害虫的种群.
With random sound source as the acoustical model of grain insect creeping, creeping sound sampling of, 20 Alphitobius diaperinus Panzer adults in wheat and 20 Tribolium castaneum Herbst adults in corn, are made separately. The acoustical signals have been reproduced utilizing Matlab software. According to noise characteristic, and by using filter and wavelet to the signals to denoise synthetically, the obvious acoustical signals are drawn. The power spectrum characteristic of their signals have been analysed, and main frequency and the highest frequency are 205 Hz, 1 600 Hz, and 350 Hz, 800 Hz for Alphitobius diaperinus Panzer adults in wheat and Tribolium castaneum Herbst adults in corn separately.
出处
《西南师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2005年第6期1057-1060,共4页
Journal of Southwest China Normal University(Natural Science Edition)
基金
国家自然基金资助项目(10274047)
关键词
无规声源
黑菌虫
赤拟谷盗
爬行声
消噪
频谱
random sound source
Alphitobius diaperinus Panzer
Tribolium castaneum Herbst
creeping sound
denoise
power spectrum