摘要
为了解决昆虫声学研究中无法同时对多只昆虫的声音进行采集分析的问题,运用信号采集和盲信号分离的方法,在Mat-lab环境下首次对蝉类混合鸣声信号进行了采集,并使用改进的FastICA方法对混合信号进行预处理,而后使用负熵最大的FastICA算法对预白化处理后的观测信号进行分离。结果表明,该方法可以有效地获取独立的鸣声信号,实现了叶蝉行为观察与信号分析的同步,解决了目前无法同时对多个昆虫鸣声进行采集和分离这一难题,为昆虫声学的进一步研究提出了一个新的思路。
In order to solve the problem that the mixed insects＇ sound acquisition and separation cannot be carried out simultaneously in insects＇ acoustics,this paper gathers the mixed cicada signals and the mixed signals is proposed for pre-whitening with new FastICA method,then recovers unknown independent sources from pre-whitening observed mixtures for the first time by using the signal acquisition and blind source separation method in Matlab environment.As is shown in the result,this method can obtain the independent source signal effectively,both observing insect behavior and analyzing signal can be conducted at the same time,it solves the difficult problem that the mixed insects＇ sound acquisition and separation cannot be carried out simultaneously,this method advances a new train of thought for the further research on insects＇ acoustics.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第24期151-152,174,共3页
Computer Engineering and Applications
基金
国家自然科学基金No.50275125
陕西省科技计划项目No.2005k16-G7(4)~~
关键词
鸣声信号
信号采集
独立分量分析(ICA)
蝉类
acoustic signal
signal acquisition
Independent Component Analysis（ICA）
cicada
